Regression Output for a Model That Omits Town as a Predictor

Question

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The Answer is Yes, the model without Town (i.e., using only Size and Age) is an improvement over the three predictor model because
1) There are no insignificant predictors in the model.
2) The

Yes, the model without Town (i.e., using only Size and Age) is an improvement over the three predictor model because 1) There are no insignificant predictors in the model. 2) The is not change at all (59.3% in both models). 3) The residual standard error is lower in the two-predictor model (39.64 versus 40.08 in the three-predictor model). 4) The F-statistic is larger in the two-predictor model (32.75 versus 21.36 in the three-predictor model). 5) The Adjusted is larger in the two-predictor model (57.5% versus 56.5% in the three-predictor model).

is not change at all (59.3% in both models).
3) The residual standard error is lower in the two-predictor model (39.64 versus 40.08 in the three-predictor model).
4) The F-statistic is larger in the two-predictor model (32.75 versus 21.36 in the three-predictor model).
5) The Adjusted

is larger in the two-predictor model (57.5% versus 56.5% in the three-predictor model).

Regression Output for a Model That Omits Town as a Predictor

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Regression Output for a Model That Omits Town as a Predictor

Essay

Correct Answer:VerifiedShow Answer

Correct Answer:
Verified