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Statistics 101: Understanding Correlation
Statistics 101: Understanding Correlation In this video we discuss the basic concepts of another bivariate relationship; correlation. Previous videos examine...
-
What Is Correlation?
Basic overview of correlation.
-
The Correlation Coefficient - Explained in Three Steps
The correlation coefficient is a really popular way of summarizing a scatter plot into a single number between -1 and 1. In this video, I'm showing how the c...
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Correlation & Regression Video 1
full course on : www.ngclasses.com.
-
How to calculate the correlation coefficient
How to calculate Pearson's correlation coefficient.
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Linear Regression and Correlation - Introduction
Course web page: http://web2.slc.qc.ca/pcamire/
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Correlation Coefficient
A step by step problem on how to use the Correlation Coefficient formula.
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How to Calculate Pearson's Correlation Coefficient
How to Calculate Pearson's Correlation Coefficient by hand. Visit http://www.StatisticsHowTo.com for more videos and hundreds of how to articles for elementa...
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How Ice Cream Kills! Correlation vs. Causation
To make better decisions and improve your problem solving skills it is important to understand the difference between correlation and causation.
-
Correlation and Causality
Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise) More free lessons at: http:...
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The Correlation Coefficient - Part 1
The Correlation Coefficient - Part 1. Just a quick little introduction and general overview to the correlation coefficient. I give the formula and then do a ...
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Correlation analysis using Excel
How to run a correlation analysis using Excel and write up the findings for a report.
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SPSS for questionnaire analysis: Correlation analysis
Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. I co...
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Correlation
Correlation provides a measure of similarity between two signals. This video explains process of correlating discrete signals and highlights when normalised correlation is required.
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The danger of mixing up causality and correlation: Ionica Smeets at TEDxDelft
Ionica Smeets (@ionicasmeets) is joining TEDxDelft Never Grow Up: A mathematician and science journalist with plenty of media experience. Using her vast know...
-
Maths Tutorial: Pearson's correlation coefficient (statistics)
VCE Further Maths Tutorials. Core (Data Analysis) Tutorial 18: Pearson's product-moment correlation coefficient, "r". This tute will walk you through how the...
-
Pearson r Correlation in SPSS - How to Calculate and Interpret (Part 1)
Pearson r Correlation in SPSS - How to Calculate and Interpret Correlation (Part 1). For additional SPSS/Statistics videos: SPSS Descriptive Statistics Video...
-
AP Statistics: Scatterplots, Association, Correlation - Part 1
This video covers the basis of examining the relationship between two quantitative variables.
-
Correlation and Regression
This clip describes what correlation represents and how to use a graphing calculator to determine what the correlation of a set of data. It also provides ste...
-
Correlation Coefficient in Excel
How to make a scatter plot in Excel. Also, a look on how to calculate the correlation coefficient for a set of data.
-
Correlation vs. Causation
statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!
-
Covariance and Correlation Coefficient Video
Video for finding the covariance and correlation coefficient by hand.
-
Linear Regression and Correlation - Example
Course web page: http://web2.slc.qc.ca/pcamire/
Statistics 101: Understanding Correlation
Statistics 101: Understanding Correlation In this video we discuss the basic concepts of another bivariate relationship; correlation. Previous videos examine......
Statistics 101: Understanding Correlation In this video we discuss the basic concepts of another bivariate relationship; correlation. Previous videos examine...
wn.com/Statistics 101 Understanding Correlation
Statistics 101: Understanding Correlation In this video we discuss the basic concepts of another bivariate relationship; correlation. Previous videos examine...
What Is Correlation?
Basic overview of correlation....
Basic overview of correlation.
wn.com/What Is Correlation
Basic overview of correlation.
- published: 05 Jun 2009
- views: 106345
-
author: DrMaggard
The Correlation Coefficient - Explained in Three Steps
The correlation coefficient is a really popular way of summarizing a scatter plot into a single number between -1 and 1. In this video, I'm showing how the c......
The correlation coefficient is a really popular way of summarizing a scatter plot into a single number between -1 and 1. In this video, I'm showing how the c...
wn.com/The Correlation Coefficient Explained In Three Steps
The correlation coefficient is a really popular way of summarizing a scatter plot into a single number between -1 and 1. In this video, I'm showing how the c...
- published: 01 May 2014
- views: 89
-
author: Benedict K
How to calculate the correlation coefficient
How to calculate Pearson's correlation coefficient....
How to calculate Pearson's correlation coefficient.
wn.com/How To Calculate The Correlation Coefficient
How to calculate Pearson's correlation coefficient.
- published: 28 Dec 2014
- views: 87
Correlation Coefficient
A step by step problem on how to use the Correlation Coefficient formula....
A step by step problem on how to use the Correlation Coefficient formula.
wn.com/Correlation Coefficient
A step by step problem on how to use the Correlation Coefficient formula.
- published: 14 Nov 2011
- views: 40843
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author: cylurian
How to Calculate Pearson's Correlation Coefficient
How to Calculate Pearson's Correlation Coefficient by hand. Visit http://www.StatisticsHowTo.com for more videos and hundreds of how to articles for elementa......
How to Calculate Pearson's Correlation Coefficient by hand. Visit http://www.StatisticsHowTo.com for more videos and hundreds of how to articles for elementa...
wn.com/How To Calculate Pearson's Correlation Coefficient
How to Calculate Pearson's Correlation Coefficient by hand. Visit http://www.StatisticsHowTo.com for more videos and hundreds of how to articles for elementa...
How Ice Cream Kills! Correlation vs. Causation
To make better decisions and improve your problem solving skills it is important to understand the difference between correlation and causation....
To make better decisions and improve your problem solving skills it is important to understand the difference between correlation and causation.
wn.com/How Ice Cream Kills Correlation Vs. Causation
To make better decisions and improve your problem solving skills it is important to understand the difference between correlation and causation.
- published: 13 Jul 2015
- views: 67
Correlation and Causality
Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise) More free lessons at: http:......
Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise) More free lessons at: http:...
wn.com/Correlation And Causality
Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise) More free lessons at: http:...
The Correlation Coefficient - Part 1
The Correlation Coefficient - Part 1. Just a quick little introduction and general overview to the correlation coefficient. I give the formula and then do a ......
The Correlation Coefficient - Part 1. Just a quick little introduction and general overview to the correlation coefficient. I give the formula and then do a ...
wn.com/The Correlation Coefficient Part 1
The Correlation Coefficient - Part 1. Just a quick little introduction and general overview to the correlation coefficient. I give the formula and then do a ...
- published: 22 Feb 2011
- views: 28047
-
author: patrickJMT
Correlation analysis using Excel
How to run a correlation analysis using Excel and write up the findings for a report....
How to run a correlation analysis using Excel and write up the findings for a report.
wn.com/Correlation Analysis Using Excel
How to run a correlation analysis using Excel and write up the findings for a report.
SPSS for questionnaire analysis: Correlation analysis
Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. I co......
Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. I co...
wn.com/Spss For Questionnaire Analysis Correlation Analysis
Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. I co...
- published: 24 Dec 2013
- views: 24816
-
author: Phil Chan
Correlation
Correlation provides a measure of similarity between two signals. This video explains process of correlating discrete signals and highlights when normalised cor...
Correlation provides a measure of similarity between two signals. This video explains process of correlating discrete signals and highlights when normalised correlation is required.
wn.com/Correlation
Correlation provides a measure of similarity between two signals. This video explains process of correlating discrete signals and highlights when normalised correlation is required.
- published: 24 Feb 2014
- views: 42
The danger of mixing up causality and correlation: Ionica Smeets at TEDxDelft
Ionica Smeets (@ionicasmeets) is joining TEDxDelft Never Grow Up: A mathematician and science journalist with plenty of media experience. Using her vast know......
Ionica Smeets (@ionicasmeets) is joining TEDxDelft Never Grow Up: A mathematician and science journalist with plenty of media experience. Using her vast know...
wn.com/The Danger Of Mixing Up Causality And Correlation Ionica Smeets At Tedxdelft
Ionica Smeets (@ionicasmeets) is joining TEDxDelft Never Grow Up: A mathematician and science journalist with plenty of media experience. Using her vast know...
- published: 05 Nov 2012
- views: 24126
-
author: TEDx Talks
Maths Tutorial: Pearson's correlation coefficient (statistics)
VCE Further Maths Tutorials. Core (Data Analysis) Tutorial 18: Pearson's product-moment correlation coefficient, "r". This tute will walk you through how the......
VCE Further Maths Tutorials. Core (Data Analysis) Tutorial 18: Pearson's product-moment correlation coefficient, "r". This tute will walk you through how the...
wn.com/Maths Tutorial Pearson's Correlation Coefficient (Statistics)
VCE Further Maths Tutorials. Core (Data Analysis) Tutorial 18: Pearson's product-moment correlation coefficient, "r". This tute will walk you through how the...
Pearson r Correlation in SPSS - How to Calculate and Interpret (Part 1)
Pearson r Correlation in SPSS - How to Calculate and Interpret Correlation (Part 1). For additional SPSS/Statistics videos: SPSS Descriptive Statistics Video......
Pearson r Correlation in SPSS - How to Calculate and Interpret Correlation (Part 1). For additional SPSS/Statistics videos: SPSS Descriptive Statistics Video...
wn.com/Pearson R Correlation In Spss How To Calculate And Interpret (Part 1)
Pearson r Correlation in SPSS - How to Calculate and Interpret Correlation (Part 1). For additional SPSS/Statistics videos: SPSS Descriptive Statistics Video...
AP Statistics: Scatterplots, Association, Correlation - Part 1
This video covers the basis of examining the relationship between two quantitative variables....
This video covers the basis of examining the relationship between two quantitative variables.
wn.com/Ap Statistics Scatterplots, Association, Correlation Part 1
This video covers the basis of examining the relationship between two quantitative variables.
Correlation and Regression
This clip describes what correlation represents and how to use a graphing calculator to determine what the correlation of a set of data. It also provides ste......
This clip describes what correlation represents and how to use a graphing calculator to determine what the correlation of a set of data. It also provides ste...
wn.com/Correlation And Regression
This clip describes what correlation represents and how to use a graphing calculator to determine what the correlation of a set of data. It also provides ste...
- published: 29 Jan 2010
- views: 89177
-
author: MadonnaUSI
Correlation Coefficient in Excel
How to make a scatter plot in Excel. Also, a look on how to calculate the correlation coefficient for a set of data....
How to make a scatter plot in Excel. Also, a look on how to calculate the correlation coefficient for a set of data.
wn.com/Correlation Coefficient In Excel
How to make a scatter plot in Excel. Also, a look on how to calculate the correlation coefficient for a set of data.
- published: 09 Nov 2009
- views: 220598
-
author: MrSnyder88
Correlation vs. Causation
statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!...
statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!
wn.com/Correlation Vs. Causation
statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!
Covariance and Correlation Coefficient Video
Video for finding the covariance and correlation coefficient by hand....
Video for finding the covariance and correlation coefficient by hand.
wn.com/Covariance And Correlation Coefficient Video
Video for finding the covariance and correlation coefficient by hand.
Linear Regression and Correlation - Example
Course web page: http://web2.slc.qc.ca/pcamire/...
Course web page: http://web2.slc.qc.ca/pcamire/
wn.com/Linear Regression And Correlation Example
Course web page: http://web2.slc.qc.ca/pcamire/
- published: 13 Feb 2014
- views: 1586
-
author: slcmath@pc
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2016 Melbourne MLK Day Correlation Program Pt 1 ft Dorian Gayle Jordin Chandler
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Spearman's rank correlation coefficient
Spearman's rank correlation coefficient
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter (rho) or as , is a nonparametric measure of statistical dependence between two variables.It assesses how well the relationship between two variables can be described using a monotonic function.
=======Image-Copyrigh
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Correlation dimension
Correlation dimension
In chaos theory, the correlation dimension (denoted by ν) is a measure of the dimensionality of the space occupied by a set of random points, often referred to as a type of fractal dimension.For example, if we have a set of random points on the real number line between 0 and 1, the correlation dimension will be ν = 1, while if they are distributed on say, a triangle embedde
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Covariance and Correlation Coefficient in QlikView
Covariance and Correlation Coefficient is a measure of linear strength between two variable. And in this video I’ve given the example of different type of linear relationship you can find in your data. After that with the help of real life example, I showed how you can calculate correlation coefficient between you two variable and way to interpret it.
I hope you’ll find this video useful and an a
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Straight Line Graph and Correlation Video Tutorial
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Defense05 Social Media Correlation of Credit Card Fraudsters Chris Cullison CW Walker
These are the videos from BSides Columbus 2016:
http://www.irongeek.com/i.php?page=videos/bsidescolumbus2016/mainlist
-
Linear Correlation 16 Calculation of Coefficient of Correlation by the most simple formula
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
X: 1 2 3 4 5
Y: 11 12 13 14 15
(i) Get the total of these two columns
(ii) Prepare th
-
Student E-lecture - Petrographic coded correlations in petrophysics by Nina Gegenhuber
Petrophysics refers to the research on the physical properties of rocks, their experimental and theoretical derivation and their correlations. In this e-lecture the petrographic coded model concept will be explained and some examples of the first applications are shown. The first application of the model was to derive a correlation between thermal conductivity and compressional wave velocity. The
-
Linear Correlation 14 Calculation of Karl Pearson's Coefficient of Correlation
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Xi: 4 6 11 3 16
Yi:50 50 40 60 30
Mean of X = 40/5 = 8
Mean of Y = 230/5 = 46
[Su
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Linear Correlation 13 Formulae to calculate Karl Pearson's Coefficient of Correlation
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
As we are now well aware that the age old Scatter Diagram Method of studying correlation is useful
-
Linear Correlation 12 Meaning of Karl Pearson's Coefficient of Correlation
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
As we are now well aware that the age old Scatter Diagram Method of studying correlation is useful
-
Linear Correlation 11- Calculation of Population Covariance
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Covariance:
Covariance is the mean or expected value of the products of the deviations of the tw
-
Linear Correlation 10 - Calculation of Sample Covariance
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Covariance:
Covariance is the mean or expected value of the products of the deviations of the tw
-
Linear Correlation 8 Scatter Diagram Method - No Correlation
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method:
This is very simple method of studying the relationship between two varia
-
Linear Correlation 7 Scatter Diagram Method Partially Negative Correlation
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method:
This is very simple method of studying the relationship between two varia
-
Linear Correlation - 4 - Scatter Diagram Method - Perfect Positive Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method-1 Perfect Positive Correlation
This is very simple method of studying the relationship between two variables. If n pairs of ob
-
Linear Correlation - 3 - Types - Linear and Non linear Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation
(Correlation Analysis - Association between two variables)
Types of Correlation:
2) Linear and Non-linear Correlation
i. Linear Correlation
The correlation between two variables is said to be linear if corr
-
Linear Correlation - 1 - Meaning of Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation
(Correlation Analysis - Association between two variables)
Meaning:
In a bi-variate distribution, we may be interested to find if there is any relationship between the two variables under study. The correlat
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Share Bazaar Live : Correlation between Nifty & Bank Nifty
Share Bazaar Live brings you the latest update from the stock market. Latest stock updates, market performance, sectoral indices, counter specific action, share trajectories, trading picks and expert comments, viewer choice stocks and answer to your queries regarding various stocks.
Zee Business, India's first 24-hour Hindi business channel, was conceived to offer 'information' and 'insight' and
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Correlation Coefficient
Spearman's rank correlation coefficient
Spearman's rank correlation coefficient
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often deno...
Spearman's rank correlation coefficient
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter (rho) or as , is a nonparametric measure of statistical dependence between two variables.It assesses how well the relationship between two variables can be described using a monotonic function.
=======Image-Copyright-Info========
License: Creative Commons Attribution-Share Alike 3.0 (CC BY-SA 3.0)
LicenseLink: http://creativecommons.org/licenses/by-sa/3.0
Author-Info: Skbkekas
Image Source: https://en.wikipedia.org/wiki/File:Spearman_fig1.svg
=======Image-Copyright-Info========
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=46cU4etd6Cg
wn.com/Spearman's Rank Correlation Coefficient
Spearman's rank correlation coefficient
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter (rho) or as , is a nonparametric measure of statistical dependence between two variables.It assesses how well the relationship between two variables can be described using a monotonic function.
=======Image-Copyright-Info========
License: Creative Commons Attribution-Share Alike 3.0 (CC BY-SA 3.0)
LicenseLink: http://creativecommons.org/licenses/by-sa/3.0
Author-Info: Skbkekas
Image Source: https://en.wikipedia.org/wiki/File:Spearman_fig1.svg
=======Image-Copyright-Info========
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=46cU4etd6Cg
- published: 22 Jan 2016
- views: 1
Correlation dimension
Correlation dimension
In chaos theory, the correlation dimension (denoted by ν) is a measure of the dimensionality of the space occupied by a set of random po...
Correlation dimension
In chaos theory, the correlation dimension (denoted by ν) is a measure of the dimensionality of the space occupied by a set of random points, often referred to as a type of fractal dimension.For example, if we have a set of random points on the real number line between 0 and 1, the correlation dimension will be ν = 1, while if they are distributed on say, a triangle embedded in three-dimensional space (or m-dimensional space), the correlation dimension will be ν = 2.
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=s3YH9o9n8_I
wn.com/Correlation Dimension
Correlation dimension
In chaos theory, the correlation dimension (denoted by ν) is a measure of the dimensionality of the space occupied by a set of random points, often referred to as a type of fractal dimension.For example, if we have a set of random points on the real number line between 0 and 1, the correlation dimension will be ν = 1, while if they are distributed on say, a triangle embedded in three-dimensional space (or m-dimensional space), the correlation dimension will be ν = 2.
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=s3YH9o9n8_I
- published: 22 Jan 2016
- views: 0
Covariance and Correlation Coefficient in QlikView
Covariance and Correlation Coefficient is a measure of linear strength between two variable. And in this video I’ve given the example of different type of linea...
Covariance and Correlation Coefficient is a measure of linear strength between two variable. And in this video I’ve given the example of different type of linear relationship you can find in your data. After that with the help of real life example, I showed how you can calculate correlation coefficient between you two variable and way to interpret it.
I hope you’ll find this video useful and an addition to your learning of QlikView.
-Abhishek
wn.com/Covariance And Correlation Coefficient In Qlikview
Covariance and Correlation Coefficient is a measure of linear strength between two variable. And in this video I’ve given the example of different type of linear relationship you can find in your data. After that with the help of real life example, I showed how you can calculate correlation coefficient between you two variable and way to interpret it.
I hope you’ll find this video useful and an addition to your learning of QlikView.
-Abhishek
- published: 22 Jan 2016
- views: 50
Defense05 Social Media Correlation of Credit Card Fraudsters Chris Cullison CW Walker
These are the videos from BSides Columbus 2016:
http://www.irongeek.com/i.php?page=videos/bsidescolumbus2016/mainlist...
These are the videos from BSides Columbus 2016:
http://www.irongeek.com/i.php?page=videos/bsidescolumbus2016/mainlist
wn.com/Defense05 Social Media Correlation Of Credit Card Fraudsters Chris Cullison Cw Walker
These are the videos from BSides Columbus 2016:
http://www.irongeek.com/i.php?page=videos/bsidescolumbus2016/mainlist
- published: 19 Jan 2016
- views: 34
Linear Correlation 16 Calculation of Coefficient of Correlation by the most simple formula
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BA...
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
X: 1 2 3 4 5
Y: 11 12 13 14 15
(i) Get the total of these two columns
(ii) Prepare three new columns 'XY', Square of X and Square of Y and get their totals. So, now we have sum totals of five columns.
(iii) The formula given in this lecture is so simple that now we just need to substitute these five summations in it and perform a few simple arithmetic calculations.
r = 5(205) - (15)(65) / [√(5)(55) - (15)2] [√(5)(805) - (65)2]
= 1025 - 975 / √(275 - 225) * √(4275 - 4225)
= 50/ √50 √50 = 50 / 50
r = 1, i.e. Perfect Positive Correlation
- www.prashantpuaar.com
wn.com/Linear Correlation 16 Calculation Of Coefficient Of Correlation By The Most Simple Formula
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
X: 1 2 3 4 5
Y: 11 12 13 14 15
(i) Get the total of these two columns
(ii) Prepare three new columns 'XY', Square of X and Square of Y and get their totals. So, now we have sum totals of five columns.
(iii) The formula given in this lecture is so simple that now we just need to substitute these five summations in it and perform a few simple arithmetic calculations.
r = 5(205) - (15)(65) / [√(5)(55) - (15)2] [√(5)(805) - (65)2]
= 1025 - 975 / √(275 - 225) * √(4275 - 4225)
= 50/ √50 √50 = 50 / 50
r = 1, i.e. Perfect Positive Correlation
- www.prashantpuaar.com
- published: 16 Jan 2016
- views: 1
Student E-lecture - Petrographic coded correlations in petrophysics by Nina Gegenhuber
Petrophysics refers to the research on the physical properties of rocks, their experimental and theoretical derivation and their correlations. In this e-lecture...
Petrophysics refers to the research on the physical properties of rocks, their experimental and theoretical derivation and their correlations. In this e-lecture the petrographic coded model concept will be explained and some examples of the first applications are shown. The first application of the model was to derive a correlation between thermal conductivity and compressional wave velocity. The model concept can help to understand various influencing factors for the different petrophysical properties and become a powerful tool for data interpretation.
wn.com/Student E Lecture Petrographic Coded Correlations In Petrophysics By Nina Gegenhuber
Petrophysics refers to the research on the physical properties of rocks, their experimental and theoretical derivation and their correlations. In this e-lecture the petrographic coded model concept will be explained and some examples of the first applications are shown. The first application of the model was to derive a correlation between thermal conductivity and compressional wave velocity. The model concept can help to understand various influencing factors for the different petrophysical properties and become a powerful tool for data interpretation.
- published: 11 Jan 2016
- views: 73
Linear Correlation 14 Calculation of Karl Pearson's Coefficient of Correlation
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BA...
Statistics for all
MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Xi: 4 6 11 3 16
Yi:50 50 40 60 30
Mean of X = 40/5 = 8
Mean of Y = 230/5 = 46
[Sum total of (x – x) (y – y)] = - 240
Sample Cov(x, y) = {[Sum total of (x – x) (y – y)] / n - 1}
= - 240 / (5 - 1) = - 240 / 4 = - 60
Sx = 5.43; Sy = 11.40
r = Cov (x, y) / Sx Sy
r = - 60 / (5.43)(11.40)
r = - 60 / 61.902
r = - 0.969
If we draw a scatter diagram for these data, we find that all the sample points are not on a straight line but around a straight line (partial correlation) and the line goes from upper left to lower right (negative relationship).
Thus, there is partially (high degree) negative correlation between 'x' and 'y'.
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wn.com/Linear Correlation 14 Calculation Of Karl Pearson's Coefficient Of Correlation
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Linear Correlation (Correlation Analysis - Association between two variables)
Xi: 4 6 11 3 16
Yi:50 50 40 60 30
Mean of X = 40/5 = 8
Mean of Y = 230/5 = 46
[Sum total of (x – x) (y – y)] = - 240
Sample Cov(x, y) = {[Sum total of (x – x) (y – y)] / n - 1}
= - 240 / (5 - 1) = - 240 / 4 = - 60
Sx = 5.43; Sy = 11.40
r = Cov (x, y) / Sx Sy
r = - 60 / (5.43)(11.40)
r = - 60 / 61.902
r = - 0.969
If we draw a scatter diagram for these data, we find that all the sample points are not on a straight line but around a straight line (partial correlation) and the line goes from upper left to lower right (negative relationship).
Thus, there is partially (high degree) negative correlation between 'x' and 'y'.
- www.prashantpuaar.com
- published: 10 Jan 2016
- views: 4
Linear Correlation 13 Formulae to calculate Karl Pearson's Coefficient of Correlation
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Linear Correlation (Correlation Analysis - Association between two variables)
As we are now well aware that the age old Scatter Diagram Method of studying correlation is useful only in knowing whether the correlation between the two variables is 'positive' or negative' and 'perfect' or 'partial', but no statistical result can be obtained at the end.
Karl Pearson was of the opinion that there must be a statistical result at the end when we analyse the statistical data to study the correlation between two or more variables. The scatter diagram method fails in fulfilling this expectation, as it doesn't involve any calculation.
Karl Pearson developed the concept of 'Coefficient of Correlation' and derived the formula to calculate it.
What is 'Coefficient of Correlation"?
"Coefficient of Correlation is the ratio of Covariance of the two variables to the product of their standard deviations"
r = Cov (x, y) / SxSy
So, r = E[(X - E(X))(Y - E(Y))] / SxSy
So, r = Sum total of (X - Mean)(Y - Mean) / nSxSy
The value of 'r' lies always between '- 1 and + 1'
Thus, we obtain a statistical result at the end.
'r' can also be used for further calculations in regression analysis.
1) If 'r' is exactly +1, it shows perfect positive correlation. That means the variables change every time in the same direction with same rate.
2) If 'r' is exactly -1, it shows perfect negative correlation. That means the variables change every time in the direction opposite to each other but at a same rate.
3) If 'r' is between 0 and +1, it shows partially positive correlation. That means not every time but many a times the variables change in the same direction and the rate of change in the same direction is higher than the rate of change in the opposite direction.
4) If 'r' is between -1 and 0, it shows partially negative correlation. That means not every time but many a times the variables change in the direction opposite to each other and the rate of change in the opposite direction is higher than the rate of change in the same direction.
5) 'r' = 0 is a theoretical situation only. Practically, when we analyse statistical data, 'r' falls between -1 and +1, but not exactly 0. In some cases 'r' happens to be so near to zero that we can conclude as 'r' = 0 and there is no correlation between the variables. Whether the variables under study are correlated or not is the matter of understanding of the analyst and it should not be left upon the method of study.
- www.prashantpuaar.com
wn.com/Linear Correlation 13 Formulae To Calculate Karl Pearson's Coefficient Of Correlation
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Linear Correlation (Correlation Analysis - Association between two variables)
As we are now well aware that the age old Scatter Diagram Method of studying correlation is useful only in knowing whether the correlation between the two variables is 'positive' or negative' and 'perfect' or 'partial', but no statistical result can be obtained at the end.
Karl Pearson was of the opinion that there must be a statistical result at the end when we analyse the statistical data to study the correlation between two or more variables. The scatter diagram method fails in fulfilling this expectation, as it doesn't involve any calculation.
Karl Pearson developed the concept of 'Coefficient of Correlation' and derived the formula to calculate it.
What is 'Coefficient of Correlation"?
"Coefficient of Correlation is the ratio of Covariance of the two variables to the product of their standard deviations"
r = Cov (x, y) / SxSy
So, r = E[(X - E(X))(Y - E(Y))] / SxSy
So, r = Sum total of (X - Mean)(Y - Mean) / nSxSy
The value of 'r' lies always between '- 1 and + 1'
Thus, we obtain a statistical result at the end.
'r' can also be used for further calculations in regression analysis.
1) If 'r' is exactly +1, it shows perfect positive correlation. That means the variables change every time in the same direction with same rate.
2) If 'r' is exactly -1, it shows perfect negative correlation. That means the variables change every time in the direction opposite to each other but at a same rate.
3) If 'r' is between 0 and +1, it shows partially positive correlation. That means not every time but many a times the variables change in the same direction and the rate of change in the same direction is higher than the rate of change in the opposite direction.
4) If 'r' is between -1 and 0, it shows partially negative correlation. That means not every time but many a times the variables change in the direction opposite to each other and the rate of change in the opposite direction is higher than the rate of change in the same direction.
5) 'r' = 0 is a theoretical situation only. Practically, when we analyse statistical data, 'r' falls between -1 and +1, but not exactly 0. In some cases 'r' happens to be so near to zero that we can conclude as 'r' = 0 and there is no correlation between the variables. Whether the variables under study are correlated or not is the matter of understanding of the analyst and it should not be left upon the method of study.
- www.prashantpuaar.com
- published: 10 Jan 2016
- views: 1
Linear Correlation 12 Meaning of Karl Pearson's Coefficient of Correlation
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
As we are now well aware that the age old Scatter Diagram Method of studying correlation is useful only in knowing whether the correlation between the two variables is 'positive' or negative' and 'perfect' or 'partial', but no statistical result can be obtained at the end.
Karl Pearson was of the opinion that there must be a statistical result at the end when we analyse the statistical data to study the correlation between two or more variables. The scatter diagram method fails in fulfilling this expectation, as it doesn't involve any calculation.
Karl Pearson developed the concept of 'Coefficient of Correlation' and derived the formula to calculate it.
What is 'Coefficient of Correlation"?
"Coefficient of Correlation is the ratio of Covariance of the two variables to the product of their standard deviations"
r = Cov (x, y) / SxSy
So, r = E[(X - E(X))(Y - E(Y))] / SxSy
So, r = Sum total of (X - Mean)(Y - Mean) / nSxSy
The value of 'r' lies always between '- 1 and + 1'
Thus, we obtain a statistical result at the end.
'r' can also be used for further calculations in regression analysis.
1) If 'r' is exactly +1, it shows perfect positive correlation. That means the variables change every time in the same direction with same rate.
2) If 'r' is exactly -1, it shows perfect negative correlation. That means the variables change every time in the direction opposite to each other but at a same rate.
3) If 'r' is between 0 and +1, it shows partially positive correlation. That means not every time but many a times the variables change in the same direction and the rate of change in the same direction is higher than the rate of change in the opposite direction.
4) If 'r' is between -1 and 0, it shows partially negative correlation. That means not every time but many a times the variables change in the direction opposite to each other and the rate of change in the opposite direction is higher than the rate of change in the same direction.
5) 'r' = 0 is a theoretical situation only. Practically, when we analyse statistical data, 'r' falls between -1 and +1, but not exactly 0. In some cases 'r' happens to be so near to zero that we can conclude as 'r' = 0 and there is no correlation between the variables. Whether the variables under study are correlated or not is the matter of understanding of the analyst and it should not be left upon the method of study.
- www.prashantpuaar.com
wn.com/Linear Correlation 12 Meaning Of Karl Pearson's Coefficient Of Correlation
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
As we are now well aware that the age old Scatter Diagram Method of studying correlation is useful only in knowing whether the correlation between the two variables is 'positive' or negative' and 'perfect' or 'partial', but no statistical result can be obtained at the end.
Karl Pearson was of the opinion that there must be a statistical result at the end when we analyse the statistical data to study the correlation between two or more variables. The scatter diagram method fails in fulfilling this expectation, as it doesn't involve any calculation.
Karl Pearson developed the concept of 'Coefficient of Correlation' and derived the formula to calculate it.
What is 'Coefficient of Correlation"?
"Coefficient of Correlation is the ratio of Covariance of the two variables to the product of their standard deviations"
r = Cov (x, y) / SxSy
So, r = E[(X - E(X))(Y - E(Y))] / SxSy
So, r = Sum total of (X - Mean)(Y - Mean) / nSxSy
The value of 'r' lies always between '- 1 and + 1'
Thus, we obtain a statistical result at the end.
'r' can also be used for further calculations in regression analysis.
1) If 'r' is exactly +1, it shows perfect positive correlation. That means the variables change every time in the same direction with same rate.
2) If 'r' is exactly -1, it shows perfect negative correlation. That means the variables change every time in the direction opposite to each other but at a same rate.
3) If 'r' is between 0 and +1, it shows partially positive correlation. That means not every time but many a times the variables change in the same direction and the rate of change in the same direction is higher than the rate of change in the opposite direction.
4) If 'r' is between -1 and 0, it shows partially negative correlation. That means not every time but many a times the variables change in the direction opposite to each other and the rate of change in the opposite direction is higher than the rate of change in the same direction.
5) 'r' = 0 is a theoretical situation only. Practically, when we analyse statistical data, 'r' falls between -1 and +1, but not exactly 0. In some cases 'r' happens to be so near to zero that we can conclude as 'r' = 0 and there is no correlation between the variables. Whether the variables under study are correlated or not is the matter of understanding of the analyst and it should not be left upon the method of study.
- www.prashantpuaar.com
- published: 10 Jan 2016
- views: 2
Linear Correlation 11- Calculation of Population Covariance
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Covariance:
Covariance is the mean or expected value of the products of the deviations of the two variables from their means.
Cov(x, y) = E[(X - X(X))(Y - E(Y))]
={[∑(x – Mean) (y – Mean)] / n}
Xi: 8 13 15 17 20 22 24 25
Yi: 25 30 32 30 36 40 42 45
Mean of X = 144 / = 18
Mean of Y = 280 / 8 = 35
∑(x – x) (y – y)] = 273
Population Cov(x, y) = E[(X - E(X))(Y - E(Y))]
={[∑(x – x) (y – y)] / N}
= 273 / 8 = 34.125
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Linear Correlation (Correlation Analysis - Association between two variables)
Covariance:
Covariance is the mean or expected value of the products of the deviations of the two variables from their means.
Cov(x, y) = E[(X - X(X))(Y - E(Y))]
={[∑(x – Mean) (y – Mean)] / n}
Xi: 8 13 15 17 20 22 24 25
Yi: 25 30 32 30 36 40 42 45
Mean of X = 144 / = 18
Mean of Y = 280 / 8 = 35
∑(x – x) (y – y)] = 273
Population Cov(x, y) = E[(X - E(X))(Y - E(Y))]
={[∑(x – x) (y – y)] / N}
= 273 / 8 = 34.125
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Linear Correlation 10 - Calculation of Sample Covariance
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Covariance:
Covariance is the mean or expected value of the products of the deviations of the two variables from their means.
Cov(x, y) = E[(X - E(X))(Y - E(Y))]
={[∑(x – Mean) (y – Mean)] / n}
Xi: 4 6 11 3 16
Yi:50 50 40 60 30
Mean of X = 40/5 = 8
Mean of Y = 230/5 = 46
[Sum total of (x – x) (y – y)] = - 240
Sample Cov(x, y) = {[Sum total of (x – x) (y – y)] / n - 1}
= - 240 / (5 - 1) = - 240 / 4 = - 60
It shows negative linear relationship between the two variables 'x' and 'y', cannot be said anything about the degree of correlation.
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wn.com/Linear Correlation 10 Calculation Of Sample Covariance
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Linear Correlation (Correlation Analysis - Association between two variables)
Covariance:
Covariance is the mean or expected value of the products of the deviations of the two variables from their means.
Cov(x, y) = E[(X - E(X))(Y - E(Y))]
={[∑(x – Mean) (y – Mean)] / n}
Xi: 4 6 11 3 16
Yi:50 50 40 60 30
Mean of X = 40/5 = 8
Mean of Y = 230/5 = 46
[Sum total of (x – x) (y – y)] = - 240
Sample Cov(x, y) = {[Sum total of (x – x) (y – y)] / n - 1}
= - 240 / (5 - 1) = - 240 / 4 = - 60
It shows negative linear relationship between the two variables 'x' and 'y', cannot be said anything about the degree of correlation.
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- published: 10 Jan 2016
- views: 10
Linear Correlation 8 Scatter Diagram Method - No Correlation
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method:
This is very simple method of studying the relationship between two variables. If n pairs of observations (x1,y1), (x2, y2), (x3, y3) … (xn, yn) of two variables are given they can be plotted on a graph paper. The diagram formed by the points on the graph paper is known as scatter diagram. Looking to the distribution points in the scatter diagram we can know the direction of the relationship and also get a rough idea about the degree of the relationship between the variables.
No Correlation or Absence of Correlation:
*
* * *
* * *
* * * *
* * *
INDEPENDENT VARIABLES
If the points of the scatter diagram are distributed haphazardly or randomly, i.e. they are neither on a straight line nor around a straight line, then they exhibit absence of relationship between two variables. Two such variables are independent or we should conclude that there is no correlation between the two variables.
Friends, I have given this topic because since decades and centuries we are taught like that. I personally don't agree with this kind of explanation. Should we wait till we get such type of scatter diagram to conclude that there is no correlation between the two variables under consideration? Certainly not... It is the matter of common sense on the part of the analyst to study the relationship between only those variable which are naturally correlated.
Practically, no data can provide such type of diagram. If we take statistical data of two such variables which can never be correlated, then also we get a diagram of any of the first four kinds only.
So, concluding that the variables under consideration are not correlated is not the subject matter of scatter diagram or any other method of the study of correlation. The method can be used to analyse the type or degree/extent of correlation and for that the analyst ought to take the variables which are naturally or really correlated.
Merits and Limitations of Scatter Diagram Method:
Merits:
i. This is a simple method of studying correlation between two variables.
ii. More mathematical knowledge is not required in this method.
iii. If one of the pairs of values is extreme, it does not influence much in deriving the conclusion.
iv. The type of correlation can be immediately known by this method.
v. It is the first step in studying correlation between two variables.
Limitation:
This method gives an idea about the direction and to some extent the degree of relationship between the variables, but it does not give the exact measure of the relationship between the variables.
- www.prashantpuaar.com
wn.com/Linear Correlation 8 Scatter Diagram Method No Correlation
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method:
This is very simple method of studying the relationship between two variables. If n pairs of observations (x1,y1), (x2, y2), (x3, y3) … (xn, yn) of two variables are given they can be plotted on a graph paper. The diagram formed by the points on the graph paper is known as scatter diagram. Looking to the distribution points in the scatter diagram we can know the direction of the relationship and also get a rough idea about the degree of the relationship between the variables.
No Correlation or Absence of Correlation:
*
* * *
* * *
* * * *
* * *
INDEPENDENT VARIABLES
If the points of the scatter diagram are distributed haphazardly or randomly, i.e. they are neither on a straight line nor around a straight line, then they exhibit absence of relationship between two variables. Two such variables are independent or we should conclude that there is no correlation between the two variables.
Friends, I have given this topic because since decades and centuries we are taught like that. I personally don't agree with this kind of explanation. Should we wait till we get such type of scatter diagram to conclude that there is no correlation between the two variables under consideration? Certainly not... It is the matter of common sense on the part of the analyst to study the relationship between only those variable which are naturally correlated.
Practically, no data can provide such type of diagram. If we take statistical data of two such variables which can never be correlated, then also we get a diagram of any of the first four kinds only.
So, concluding that the variables under consideration are not correlated is not the subject matter of scatter diagram or any other method of the study of correlation. The method can be used to analyse the type or degree/extent of correlation and for that the analyst ought to take the variables which are naturally or really correlated.
Merits and Limitations of Scatter Diagram Method:
Merits:
i. This is a simple method of studying correlation between two variables.
ii. More mathematical knowledge is not required in this method.
iii. If one of the pairs of values is extreme, it does not influence much in deriving the conclusion.
iv. The type of correlation can be immediately known by this method.
v. It is the first step in studying correlation between two variables.
Limitation:
This method gives an idea about the direction and to some extent the degree of relationship between the variables, but it does not give the exact measure of the relationship between the variables.
- www.prashantpuaar.com
- published: 10 Jan 2016
- views: 17
Linear Correlation 7 Scatter Diagram Method Partially Negative Correlation
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method:
This is very simple method of studying the relationship between two variables. If n pairs of observations (x1,y1), (x2, y2), (x3, y3) … (xn, yn) of two variables are given they can be plotted on a graph paper. The diagram formed by the points on the graph paper is known as scatter diagram. Looking to the distribution points in the scatter diagram we can know the direction of the relationship and also get a rough idea about the degree of the relationship between the variables.
Partially Negative Correlation:
*
* *
* * * *
* *
*
1) All the points of the scatter diagram are not on one straight line but are around some straight line, which shows partial correlation.
2) The line around which the sample points are situated, goes from the upper left to the lower right, which shows the negative relationship.
Thus, we can conclude that there the correlation between the variables is partially negative.
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wn.com/Linear Correlation 7 Scatter Diagram Method Partially Negative Correlation
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MBA - MCA - CA - CS - CWA - BBA - BCA - BCom - MCom - GRE - GMAT - Grade 11 - Grade 12 - Class 11 - Class 12 - IAS - CAIIB - FIII - IBPS - BANK PO - UPSC - CPA - CMA - Competitive Exams - Entrance Exams
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method:
This is very simple method of studying the relationship between two variables. If n pairs of observations (x1,y1), (x2, y2), (x3, y3) … (xn, yn) of two variables are given they can be plotted on a graph paper. The diagram formed by the points on the graph paper is known as scatter diagram. Looking to the distribution points in the scatter diagram we can know the direction of the relationship and also get a rough idea about the degree of the relationship between the variables.
Partially Negative Correlation:
*
* *
* * * *
* *
*
1) All the points of the scatter diagram are not on one straight line but are around some straight line, which shows partial correlation.
2) The line around which the sample points are situated, goes from the upper left to the lower right, which shows the negative relationship.
Thus, we can conclude that there the correlation between the variables is partially negative.
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- published: 10 Jan 2016
- views: 3
Linear Correlation - 4 - Scatter Diagram Method - Perfect Positive Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entranc...
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method-1 Perfect Positive Correlation
This is very simple method of studying the relationship between two variables. If n pairs of observations (x1,y1), (x2, y2), (x3, y3) … (xn, yn) of two variables are given, they can be plotted on a graph paper. The diagram formed by the points on the graph paper is known as scatter diagram. Looking to the distribution points in the scatter diagram we can know the direction of the relationship and also get a rough idea about the degree of the relationship between the variables.
*
*
*
*
*
Perfect Positive Correlation
1) All the points of a scatter diagram are on one straight line, that indicates perfect relationship between the variables.
2) The line goes from the lower left to the upper right. So, the correlation between the variables is perfect positive.
Thus, we can conclude that there is "Perfect Positive Correlation between the two variables.
Here the changes in the values of two variables are in the same direction and are proportional.
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wn.com/Linear Correlation 4 Scatter Diagram Method Perfect Positive Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation (Correlation Analysis - Association between two variables)
Scatter Diagram Method-1 Perfect Positive Correlation
This is very simple method of studying the relationship between two variables. If n pairs of observations (x1,y1), (x2, y2), (x3, y3) … (xn, yn) of two variables are given, they can be plotted on a graph paper. The diagram formed by the points on the graph paper is known as scatter diagram. Looking to the distribution points in the scatter diagram we can know the direction of the relationship and also get a rough idea about the degree of the relationship between the variables.
*
*
*
*
*
Perfect Positive Correlation
1) All the points of a scatter diagram are on one straight line, that indicates perfect relationship between the variables.
2) The line goes from the lower left to the upper right. So, the correlation between the variables is perfect positive.
Thus, we can conclude that there is "Perfect Positive Correlation between the two variables.
Here the changes in the values of two variables are in the same direction and are proportional.
- www.prashantpuaar.com
- published: 09 Jan 2016
- views: 5
Linear Correlation - 3 - Types - Linear and Non linear Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entranc...
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation
(Correlation Analysis - Association between two variables)
Types of Correlation:
2) Linear and Non-linear Correlation
i. Linear Correlation
The correlation between two variables is said to be linear if corresponding to a unit change in one variable, there is a constant change in the other variable over the entire range of the values.
In general two variables X and Y are said to be linearly related if there exists a relationship of the form:
Y = a + bX and X = a + by
ii. Non-linear Correlation
The relationship between two variables is said to be non-linear and curvy linear if corresponding to a unit change in one variable, the other variable does not change at a constant rate but at fluctuating rate. In such cases, if the data are placed on the XY plan we do not get a straight-line curve.
Mathematically speaking for the correlation is said to be non-linear if the slope of the plotted curve is not constant. Such phenomena are common in the data relating to economics and social sciences.
Since, the techniques for the analysis and measurement of non-linear relation are quite complicated and tedious as compared to the methods of studying and measuring linear relationship. It is generally assumed that the relationship between the two variables under study is linear.
- www.prashantpuaar.com
wn.com/Linear Correlation 3 Types Linear And Non Linear Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation
(Correlation Analysis - Association between two variables)
Types of Correlation:
2) Linear and Non-linear Correlation
i. Linear Correlation
The correlation between two variables is said to be linear if corresponding to a unit change in one variable, there is a constant change in the other variable over the entire range of the values.
In general two variables X and Y are said to be linearly related if there exists a relationship of the form:
Y = a + bX and X = a + by
ii. Non-linear Correlation
The relationship between two variables is said to be non-linear and curvy linear if corresponding to a unit change in one variable, the other variable does not change at a constant rate but at fluctuating rate. In such cases, if the data are placed on the XY plan we do not get a straight-line curve.
Mathematically speaking for the correlation is said to be non-linear if the slope of the plotted curve is not constant. Such phenomena are common in the data relating to economics and social sciences.
Since, the techniques for the analysis and measurement of non-linear relation are quite complicated and tedious as compared to the methods of studying and measuring linear relationship. It is generally assumed that the relationship between the two variables under study is linear.
- www.prashantpuaar.com
- published: 06 Jan 2016
- views: 0
Linear Correlation - 1 - Meaning of Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entranc...
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation
(Correlation Analysis - Association between two variables)
Meaning:
In a bi-variate distribution, we may be interested to find if there is any relationship between the two variables under study. The correlation is a statistical tool which studies the relationship between two variables and correlation analysis involves various methods an techniques used for studying and measuring the extent of the relationship between the two variables.
“Correlation is an analysis of the co-variation between two or more variables.”
TWO VARIABLES ARE SAID TO BE CORRELATED IF THE CHANGE IN ONE VARIABLE RESULTS IN A CORRESPONDING CHANGE IN THE OTHER VARIABLE.
When we analyse statistical data with two or more variables, we believe that there is a change in the value of a variable because of the change in the value of the other variable. In this way we believe that both the variables influence each other at the same time. Both are independent as well as dependent on each other at the same time.
If we have two variables, say 'x' and 'y', there is a change in the value of 'y' because of change in the value of 'x' and at the same time the change in the value of 'x' is because of the change in the value of 'y'. Thus, both influence each other at the same time.
- www.prashantpuaar.com
wn.com/Linear Correlation 1 Meaning Of Correlation
Statistics for - GRE-GMAT-CAT-MBA-PGDBA-PGDM-BBA-Bcom -CA-CMA-CS-CWA-CPA - Mcom-Grade 11-Grade 12- FIII - CAIIB - IAS - UPSC - RRB - Competitive Exams - Entrance Exams -
Linear Correlation
(Correlation Analysis - Association between two variables)
Meaning:
In a bi-variate distribution, we may be interested to find if there is any relationship between the two variables under study. The correlation is a statistical tool which studies the relationship between two variables and correlation analysis involves various methods an techniques used for studying and measuring the extent of the relationship between the two variables.
“Correlation is an analysis of the co-variation between two or more variables.”
TWO VARIABLES ARE SAID TO BE CORRELATED IF THE CHANGE IN ONE VARIABLE RESULTS IN A CORRESPONDING CHANGE IN THE OTHER VARIABLE.
When we analyse statistical data with two or more variables, we believe that there is a change in the value of a variable because of the change in the value of the other variable. In this way we believe that both the variables influence each other at the same time. Both are independent as well as dependent on each other at the same time.
If we have two variables, say 'x' and 'y', there is a change in the value of 'y' because of change in the value of 'x' and at the same time the change in the value of 'x' is because of the change in the value of 'y'. Thus, both influence each other at the same time.
- www.prashantpuaar.com
- published: 06 Jan 2016
- views: 3
Share Bazaar Live : Correlation between Nifty & Bank Nifty
Share Bazaar Live brings you the latest update from the stock market. Latest stock updates, market performance, sectoral indices, counter specific action, share...
Share Bazaar Live brings you the latest update from the stock market. Latest stock updates, market performance, sectoral indices, counter specific action, share trajectories, trading picks and expert comments, viewer choice stocks and answer to your queries regarding various stocks.
Zee Business, India's first 24-hour Hindi business channel, was conceived to offer 'information' and 'insight' and bring business and economy coverage to you in your own language.
Take a look at the below given playlists and check out the videos:
Midcap Bazaar: https://goo.gl/439StW
Antim Baazi: https://goo.gl/h4jDyh
Subscribe to our channel at: https://goo.gl/cn4IdL
Check out our website: http://zeenews.india.com/business
Connect with us at our social media handles:
Facebook: https://www.facebook.com/Zeebusinessonline
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Google Plus: https://plus.google.com/+zeenews
Lean back and watch some of our flagship shows and content of your choice by clicking the links below:
Share Bazaar Live: https://goo.gl/6Z0YTO
First Trade: https://goo.gl/Jhoybb
Aapka Bazaar: https://goo.gl/1BA2JD
Mandi Live: https://goo.gl/1Sii3I
Top 20 Stocks: https://goo.gl/WZDSNw
Property Plus: https://goo.gl/MrfYa1
Box Office: https://goo.gl/nZFP9r
Brand Stand: https://goo.gl/IIcNKS
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Mobiles & Gadgets: https://goo.gl/IeCHCL
wn.com/Share Bazaar Live Correlation Between Nifty Bank Nifty
Share Bazaar Live brings you the latest update from the stock market. Latest stock updates, market performance, sectoral indices, counter specific action, share trajectories, trading picks and expert comments, viewer choice stocks and answer to your queries regarding various stocks.
Zee Business, India's first 24-hour Hindi business channel, was conceived to offer 'information' and 'insight' and bring business and economy coverage to you in your own language.
Take a look at the below given playlists and check out the videos:
Midcap Bazaar: https://goo.gl/439StW
Antim Baazi: https://goo.gl/h4jDyh
Subscribe to our channel at: https://goo.gl/cn4IdL
Check out our website: http://zeenews.india.com/business
Connect with us at our social media handles:
Facebook: https://www.facebook.com/Zeebusinessonline
Twitter: https://twitter.com/zeebusiness
Google Plus: https://plus.google.com/+zeenews
Lean back and watch some of our flagship shows and content of your choice by clicking the links below:
Share Bazaar Live: https://goo.gl/6Z0YTO
First Trade: https://goo.gl/Jhoybb
Aapka Bazaar: https://goo.gl/1BA2JD
Mandi Live: https://goo.gl/1Sii3I
Top 20 Stocks: https://goo.gl/WZDSNw
Property Plus: https://goo.gl/MrfYa1
Box Office: https://goo.gl/nZFP9r
Brand Stand: https://goo.gl/IIcNKS
The Big Idea: https://goo.gl/lMIJEb
Mobiles & Gadgets: https://goo.gl/IeCHCL
- published: 06 Jan 2016
- views: 9
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Statistics 20: Multiple Regression and Correlation
In today's class we discussed multiple regression and correlation. We take a look at the partial and semi-partial correlation coefficients and partial regres...
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LoadRunner Training - Manual correlation - LoadRunner videos
LoadRunner Online Training - Manual correlation - LoadRunner Training videos. You can also subscribe to 27 HD quality videos on HP LoadRunner here http://www...
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How to calculate Karl Pearson Coefficient of Correlation Part 1 (in Hindi)
This video provides learning on finding correlation between two variables by Karl Pearson coefficient of correlation.
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Statistics - How to find Rank Correlation by Spearman's Method (in Hindi)
This video provides the learning on what is rank correlation and how to find rank correlation by Spearman's Method.
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Simple Linear Regression, Coefficient of Determination, and Correlation Coefficient Explained
This tutorial discusses the basic concepts of simple linear regression and how to calculate the slope and y intercept to get the line of regression. The coefficient of determination and the correlation coefficient are also calculated and discussed, as are the concepts of Total Variation (SST), Explained Variation (SSR), and Unexplained Variation (SSE). Finally, an hypothesis test on the slope is
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LoadRunner Training Tutorial #7 - Vugen Correlation
LoadRunner LIVE Online Training @ http://www.softwaretestinghelp.org Load Runner Vugen Correlation - LoadRunner Training with detailed LoadRunner Tutorials. ...
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Forex Correlation Trading Idea
In this video, I discuss a simple concept that banks have been using for years
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Lecture 21: Covariance and Correlation | Statistics 110
We introduce covariance and correlation, and show how to obtain the variance of a sum, including the variance of a Hypergeometric random variable.
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Correlation and Multiple Regression in Excel
This video walk you through how to run Correlation and Multiple Regression in Excel.
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Correlation Formula Derivation, Karl Pearson's Coefficient
Correlation Formula Derivation, Karl Pearson's Coefficient video by Edupedia World (www.edupediaworld.com). All Rights Reserved.
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Quantitative Aptitude for CA CPT, Correlation and Regression
Demo Video of GK 24 x 7 of Shree Guru Kripa's Institute of Management - www.shrigurukripa.com
M Saravana Prabhu, ACA
Faculty, Shree Guru Kripa
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CFA Level II 2014 - Reading 11 - Correlation and Regression
We believe that we offer the most comprehensive, thorough and easy-to-understand study materials for the CFA exams. That is why we are offering you some of o...
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9. Biostatistics lecture - Correlation coefficient
This biostatistics lecture explains about correlation coefficient and the use of correlation coefficient in statistical analysis. For more information, log o...
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Canonical Correlation in SPSS
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Mod-01 Lec-40 Canonical Correlation Analysis
Applied Multivariate Analysis by Dr. Amit Mitra,Dr. Sharmishtha Mitra, Department of Mathematics and Science, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
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Lec-12 Auto Correlation and Power Spectrum Estimation
Lecture Series on Estimation of Signals and Systems by Prof.S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL v...
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Regression And Correlation
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Correlation and Regression in MS Excel 2013
Correlation and Regression in MS Excel 2013
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Correlation#3
by www.tutortrek.in This video shows how to find Karl Pearson's Coefficient of Correlation for Grouped Data.
Statistics 20: Multiple Regression and Correlation
In today's class we discussed multiple regression and correlation. We take a look at the partial and semi-partial correlation coefficients and partial regres......
In today's class we discussed multiple regression and correlation. We take a look at the partial and semi-partial correlation coefficients and partial regres...
wn.com/Statistics 20 Multiple Regression And Correlation
In today's class we discussed multiple regression and correlation. We take a look at the partial and semi-partial correlation coefficients and partial regres...
LoadRunner Training - Manual correlation - LoadRunner videos
LoadRunner Online Training - Manual correlation - LoadRunner Training videos. You can also subscribe to 27 HD quality videos on HP LoadRunner here http://www......
LoadRunner Online Training - Manual correlation - LoadRunner Training videos. You can also subscribe to 27 HD quality videos on HP LoadRunner here http://www...
wn.com/Loadrunner Training Manual Correlation Loadrunner Videos
LoadRunner Online Training - Manual correlation - LoadRunner Training videos. You can also subscribe to 27 HD quality videos on HP LoadRunner here http://www...
How to calculate Karl Pearson Coefficient of Correlation Part 1 (in Hindi)
This video provides learning on finding correlation between two variables by Karl Pearson coefficient of correlation....
This video provides learning on finding correlation between two variables by Karl Pearson coefficient of correlation.
wn.com/How To Calculate Karl Pearson Coefficient Of Correlation Part 1 (In Hindi)
This video provides learning on finding correlation between two variables by Karl Pearson coefficient of correlation.
- published: 03 Dec 2013
- views: 2185
-
author: 100Centum
Statistics - How to find Rank Correlation by Spearman's Method (in Hindi)
This video provides the learning on what is rank correlation and how to find rank correlation by Spearman's Method....
This video provides the learning on what is rank correlation and how to find rank correlation by Spearman's Method.
wn.com/Statistics How To Find Rank Correlation By Spearman's Method (In Hindi)
This video provides the learning on what is rank correlation and how to find rank correlation by Spearman's Method.
- published: 29 Nov 2013
- views: 639
-
author: 100Centum
Simple Linear Regression, Coefficient of Determination, and Correlation Coefficient Explained
This tutorial discusses the basic concepts of simple linear regression and how to calculate the slope and y intercept to get the line of regression. The coeffi...
This tutorial discusses the basic concepts of simple linear regression and how to calculate the slope and y intercept to get the line of regression. The coefficient of determination and the correlation coefficient are also calculated and discussed, as are the concepts of Total Variation (SST), Explained Variation (SSR), and Unexplained Variation (SSE). Finally, an hypothesis test on the slope is conducted using both the critical value approach and the p value approach.
wn.com/Simple Linear Regression, Coefficient Of Determination, And Correlation Coefficient Explained
This tutorial discusses the basic concepts of simple linear regression and how to calculate the slope and y intercept to get the line of regression. The coefficient of determination and the correlation coefficient are also calculated and discussed, as are the concepts of Total Variation (SST), Explained Variation (SSR), and Unexplained Variation (SSE). Finally, an hypothesis test on the slope is conducted using both the critical value approach and the p value approach.
- published: 05 May 2015
- views: 6
LoadRunner Training Tutorial #7 - Vugen Correlation
LoadRunner LIVE Online Training @ http://www.softwaretestinghelp.org Load Runner Vugen Correlation - LoadRunner Training with detailed LoadRunner Tutorials. ......
LoadRunner LIVE Online Training @ http://www.softwaretestinghelp.org Load Runner Vugen Correlation - LoadRunner Training with detailed LoadRunner Tutorials. ...
wn.com/Loadrunner Training Tutorial 7 Vugen Correlation
LoadRunner LIVE Online Training @ http://www.softwaretestinghelp.org Load Runner Vugen Correlation - LoadRunner Training with detailed LoadRunner Tutorials. ...
- published: 11 Dec 2013
- views: 6609
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author: Vijay S
Forex Correlation Trading Idea
In this video, I discuss a simple concept that banks have been using for years...
In this video, I discuss a simple concept that banks have been using for years
wn.com/Forex Correlation Trading Idea
In this video, I discuss a simple concept that banks have been using for years
- published: 05 Jan 2015
- views: 71
Lecture 21: Covariance and Correlation | Statistics 110
We introduce covariance and correlation, and show how to obtain the variance of a sum, including the variance of a Hypergeometric random variable....
We introduce covariance and correlation, and show how to obtain the variance of a sum, including the variance of a Hypergeometric random variable.
wn.com/Lecture 21 Covariance And Correlation | Statistics 110
We introduce covariance and correlation, and show how to obtain the variance of a sum, including the variance of a Hypergeometric random variable.
Correlation and Multiple Regression in Excel
This video walk you through how to run Correlation and Multiple Regression in Excel....
This video walk you through how to run Correlation and Multiple Regression in Excel.
wn.com/Correlation And Multiple Regression In Excel
This video walk you through how to run Correlation and Multiple Regression in Excel.
Correlation Formula Derivation, Karl Pearson's Coefficient
Correlation Formula Derivation, Karl Pearson's Coefficient video by Edupedia World (www.edupediaworld.com). All Rights Reserved....
Correlation Formula Derivation, Karl Pearson's Coefficient video by Edupedia World (www.edupediaworld.com). All Rights Reserved.
wn.com/Correlation Formula Derivation, Karl Pearson's Coefficient
Correlation Formula Derivation, Karl Pearson's Coefficient video by Edupedia World (www.edupediaworld.com). All Rights Reserved.
- published: 13 Dec 2014
- views: 1
Quantitative Aptitude for CA CPT, Correlation and Regression
Demo Video of GK 24 x 7 of Shree Guru Kripa's Institute of Management - www.shrigurukripa.com
M Saravana Prabhu, ACA
Faculty, Shree Guru Kripa...
Demo Video of GK 24 x 7 of Shree Guru Kripa's Institute of Management - www.shrigurukripa.com
M Saravana Prabhu, ACA
Faculty, Shree Guru Kripa
wn.com/Quantitative Aptitude For Ca Cpt, Correlation And Regression
Demo Video of GK 24 x 7 of Shree Guru Kripa's Institute of Management - www.shrigurukripa.com
M Saravana Prabhu, ACA
Faculty, Shree Guru Kripa
- published: 16 Apr 2015
- views: 240
CFA Level II 2014 - Reading 11 - Correlation and Regression
We believe that we offer the most comprehensive, thorough and easy-to-understand study materials for the CFA exams. That is why we are offering you some of o......
We believe that we offer the most comprehensive, thorough and easy-to-understand study materials for the CFA exams. That is why we are offering you some of o...
wn.com/Cfa Level Ii 2014 Reading 11 Correlation And Regression
We believe that we offer the most comprehensive, thorough and easy-to-understand study materials for the CFA exams. That is why we are offering you some of o...
9. Biostatistics lecture - Correlation coefficient
This biostatistics lecture explains about correlation coefficient and the use of correlation coefficient in statistical analysis. For more information, log o......
This biostatistics lecture explains about correlation coefficient and the use of correlation coefficient in statistical analysis. For more information, log o...
wn.com/9. Biostatistics Lecture Correlation Coefficient
This biostatistics lecture explains about correlation coefficient and the use of correlation coefficient in statistical analysis. For more information, log o...
Mod-01 Lec-40 Canonical Correlation Analysis
Applied Multivariate Analysis by Dr. Amit Mitra,Dr. Sharmishtha Mitra, Department of Mathematics and Science, IIT Kanpur. For more details on NPTEL visit http:/...
Applied Multivariate Analysis by Dr. Amit Mitra,Dr. Sharmishtha Mitra, Department of Mathematics and Science, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
wn.com/Mod 01 Lec 40 Canonical Correlation Analysis
Applied Multivariate Analysis by Dr. Amit Mitra,Dr. Sharmishtha Mitra, Department of Mathematics and Science, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in.
- published: 12 Jul 2012
- views: 4809
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author: nptelhrd
Lec-12 Auto Correlation and Power Spectrum Estimation
Lecture Series on Estimation of Signals and Systems by Prof.S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL v......
Lecture Series on Estimation of Signals and Systems by Prof.S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL v...
wn.com/Lec 12 Auto Correlation And Power Spectrum Estimation
Lecture Series on Estimation of Signals and Systems by Prof.S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL v...
- published: 05 Oct 2009
- views: 20757
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author: nptelhrd
Correlation and Regression in MS Excel 2013
Correlation and Regression in MS Excel 2013...
Correlation and Regression in MS Excel 2013
wn.com/Correlation And Regression In Ms Excel 2013
Correlation and Regression in MS Excel 2013
- published: 13 Nov 2014
- views: 214
Correlation#3
by www.tutortrek.in This video shows how to find Karl Pearson's Coefficient of Correlation for Grouped Data....
by www.tutortrek.in This video shows how to find Karl Pearson's Coefficient of Correlation for Grouped Data.
wn.com/Correlation 3
by www.tutortrek.in This video shows how to find Karl Pearson's Coefficient of Correlation for Grouped Data.
- published: 12 May 2014
- views: 84
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author: Tutortrek