Download file from “Highline BI 348
Class” section: https://people.highline.edu/mgirvin/excelisfun
.htm
Learn:
1) (00:14) What we will do in this video:
SST,
SSR,
SSE,
R^2 and
Standard Error
2) (00:44) What we did last video
3) (01:11) How do we think about “How good our Estimated
Regression Line is”?
4) (01:26) What a
Perfect Line would look like
5) (01:48)
What is a
Residual?
6) (04:35) Compare Ybar (Y
Mean) Line to Estimated Regression
Line
7) (06:18)
Visual Proof of Calculations for SST, SSR, SSE and R^2.
Visual proof that any Y value and Predicted Value has two parts: Explained and Explained, or,
Error and Regression, or Residual and Regression.
8) (08:18)
Benefit of using Regression Line over Y Bar Line.
9) (09:00) What we must
Square the
Errors /
Residuals.
10) (11:02) Formulas for SST, SSR and SSE.
11) (12:12) Coefficient of
Determination (goodness of Fit of Regression
Equation to
Sample Raw
X Y Data Points), R Squared
Formula.
12) (13:32) Use
Excel FORECAST function to calculate Predicted Values.
13) (15:08) Using Excel to calculate Residuals
14) (15:45) SST = Sum of Squares
Total, calculate in Excel
15) (16:29) SSR = Sum of Squares Regression, calculate in Excel
16) (17:06) SSE = Sum of Squares Error, calculate in Excel
17) (17:31)
Alternative methods for calculating SST, SSR and SSE, including using the Excel function SUMSQ and residuals to calculate SSE.
18) (18:50) Use Excel to calculate Coefficient of Determination, R Squared (three methods: SSR/SST, 1-SSE/SST and
RSQ Function)
19) (20:58) Relationship between Coefficient of Determination (R Squared) and Coefficient of
Correlation
20) (24:42) Estimate of Variation (Mean Square Error =
MSE) and
Standard Deviation (Standard Error of the Estimate = s) for the Regression Line / Equation.
21) (27:20) Calculate Standard Error of the Estimate using STEXY function in Excel.
19) (28:14)
Second Example on
BMX Racing Bike and
Price data set
.
22) (30:02) Summary and
Conclusion
Download Excel
File Not: After clicking on link, Use
Ctrl + F (
Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
- published: 26 Nov 2015
- views: 2968