Chapter 11: Regression Analysis: Simple Linear Regression
Residuals and Total Squared Error
Consider the regression equation #\hat{Y} = 1+4X# and the following data points:
- #(4, 22)#
- #(6, 26)#
- #(2, 5)#
- #(1, 3)#
| #X_i# | #Y_i# | #\hat{Y}_i# |
| #4# | #22# | |
| #6# | #26# | |
| #2# | #5# | |
| #1# | #3# |
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