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Best Subsets Regression: y versus x1, x2, x3 Response is y R-Sq Vars R-Sq (adj) PRESS 1 99.1 99.0 341.1 78.0 76.8 8523.2 99.2 99.1 325.6 99.1 99.0 388.1 1 22 2 2 R-Sq (pred) 98.9 72.3 98.9 98.7 Mallows Cp 7.1 542.9 5.7 9.0 X S 1 3.9403 19.389 X 3.7418 X 4.0433 XmX X X 2 3 X X X X

Best Subsets Regression: y versus x1, x2, x3 Response is y R-Sq Vars R-Sq (adj) PRESS 1 99.1 99.0 341.1 78.0 76.8 8523.2 99.2 99.1 325.6 99.1 99.0 388.1 1 22 2 2 R-Sq (pred) 98.9 72.3 98.9 98.7 Mallows Cp 7.1 542.9 5.7 9.0 X S 1 3.9403 19.389 X 3.7418 X 4.0433 XmX X X 2 3 X X X X

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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24. Using the adjusted R2, which variables is/are included in the best set of the model?

Best Subsets Regression: y versus x1, x2, x3 Response is y R-Sq Vars R-Sq (adj) PRESS 1 99.1 99.0 341.1 1 78.0 76.8 8523.2 2 99.2 99.1 325.6 2 99.1 99.0 388.1 004 aa 2 282 2 UN R-Sq (pred) 98.9 72.3 98.9 98.7 QQ 1 Mallows Cp 7.1 542.9 5.7 9.0 10 X X S1 3.9403 19.389 X 3.7418 X 4.0433 2 1706 V 2 3 XmX X V X V
Transcribed Image Text:Best Subsets Regression: y versus x1, x2, x3 Response is y R-Sq Vars R-Sq (adj) PRESS 1 99.1 99.0 341.1 1 78.0 76.8 8523.2 2 99.2 99.1 325.6 2 99.1 99.0 388.1 004 aa 2 282 2 UN R-Sq (pred) 98.9 72.3 98.9 98.7 QQ 1 Mallows Cp 7.1 542.9 5.7 9.0 10 X X S1 3.9403 19.389 X 3.7418 X 4.0433 2 1706 V 2 3 XmX X V X V
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