30. Introduction to Karl Pearson's Correlation

• published: 19 Mar 2015
• views: 4

The video introduces the concept of Karl Pearson’s coefficient of correlation to test the strength of linear relationship between 2 continuous variables. The lecture discusses the statistical formula of correlation as the covariance of the 2 variables divided by Product of variance of each. The lecture also discusses shortcomings of Karl Pearson’s coefficient with respect to outliers, and failure to detect non linear relationships. It also introduces the concept of Rank Correlation also known as Spearman’s correlation, and it’s relation to Karl Pearson’s coefficient. This playlist provides approximately 10 hours of our Analytics Training series. For more information, please visit www.learnanalytics.in . For enquiries drop an email to info@learnanalytics.in . The training covers basic business statistics concepts and using tools such as SAS, SPSS , Statistica and R using Rattle. The objective of the training series is to prepare the student for a career in Data Analysis and the Analytics Industry in general. Please visit our website for further details. If you wish to subscribe to our full Analytics Training module, please visit http://goo.gl/nIJJHg for our paid Youtube Channel which contains additional hours covering more extensive topics including Linear Regression/Logistic Regression, building and testing predictive models using Logistic / Decision Trees and Ensembling. All videos on our paid channel are available without advertisement interruptions and you can enrol for a 14 day free subscription trial. You pay only if you want to continue. Additionally, you get access to the datasets discussed in the videos and all SAS Codes.