Question: 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.

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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