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Solutions Manual to Accompany Introduction to Linear Regression Analysis, 5th Edition by Anne G. Ryan, G. Geoffrey Vining, Elizabeth A. Peck, Douglas C. Montgomery, Ann G. Ryan

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Chapter 11

Validation of Regression Models

11.1 a. PRESS = 87.4612 with

equation

The predictive power is not bad.
b. = −8.5.004x2 + .28x7 − .005x8
y
10 5.83
11 8.84
11 12.07
4 0.73
10 7.46
5 2.82
The model does not predict very well.
c. The model does a good job predicting these observations.
City y
Dallas 11 10.71
Los Angeles 10 12.25
Houston 5 5.29
San Francisco 8 8.42
11.3 PRESS = 70.82 with R2Pred = 59.5% which agrees with problem 11.2 that the model does not predict well.
11.5 a. p = 4.42 + 1.53x1 + .012x2.
b. e = 3.51 + 1.39x1. + .016x2. The models are similar which indicates the overall model should be valid.
c. The model predicts fairly well and is consistent with Example 11.3.
11.7 PRESS = 337.37 with R2Pred = 72.74% which indicates that the predictive performance of the model is not bad.
11.9 The model is not predicting very well.
y
18.9 12.43

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