Chapter 11: Regression Analysis: Simple Linear Regression
Residuals and Total Squared Error
Consider the regression equation #\hat{Y} = -5+4X# and the following data points:
- #(2, 1)#
- #(1, -6)#
- #(3, 0)#
- #(6, 33)#
| #X_i# | #Y_i# | #\hat{Y}_i# |
| #2# | #1# | |
| #1# | #-6# | |
| #3# | #0# | |
| #6# | #33# |
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