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:
- #(1, 9)#
- #(6, 22)#
- #(4, 14)#
- #(3, -1)#
| #X_i# | #Y_i# | #\hat{Y}_i# |
| #1# | #9# | |
| #6# | #22# | |
| #4# | #14# | |
| #3# | #-1# |
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