Chapter 11: Regression Analysis: Simple Linear Regression
Residuals and Total Squared Error
Consider the regression equation #\hat{Y} = -4+2X# and the following data points:
- #(4, 3)#
- #(6, 13)#
- #(5, 3)#
- #(1, -3)#
| #X_i# | #Y_i# | #\hat{Y}_i# |
| #4# | #3# | |
| #6# | #13# | |
| #5# | #3# | |
| #1# | #-3# |
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