Chapter 11: Regression Analysis: Simple Linear Regression
Residuals and Total Squared Error
Consider the regression equation #\hat{Y} = -5+5X# and the following data points:
- #(6, 24)#
- #(1, -4)#
- #(2, 4)#
- #(3, 16)#
| #X_i# | #Y_i# | #\hat{Y}_i# |
| #6# | #24# | |
| #1# | #-4# | |
| #2# | #4# | |
| #3# | #16# |
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