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Which fit is better, and why? > #Validation set - Linear >lm. fitl mean((logtdc-predict(lm. fit1, ceo_rproject)) [-train]^2) [1] 1.024548 > # Validation set Quadratic
Which fit is better, and why? > #Validation set - Linear >lm. fitl mean((logtdc-predict(lm. fit1, ceo_rproject)) [-train]^2) [1] 1.024548 > # Validation set Quadratic fit >lm.fit2 mean ((logtdc-predict(lm. fit2, ceo_rproject)) [-train]^2) [1] 0.9988668
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An Introduction To Statistical Methods And Data Analysis
Authors: R. Lyman Ott, Micheal T. Longnecker
7th Edition
1305269470, 978-1305465527, 1305465520, 978-1305269477
