Your analytics team is developing a linear regression model on training data and then testing this model on testing data. They are curious why we do not keep adding predictor variables when fitting the model. You tell them adding additional predictor variables to the model will always increase model ASE on the testing data. always decrease model ASE on the testing data. always decrease model ASE on the training data. always increase model ASE on the training data.

Your analytics team is developing a linear regression model on training data and then testing this model on testing data. They are curious why we do not keep adding predictor variables when fitting the model. You tell them adding additional predictor variables to the model will always increase model ASE on the testing data. always decrease model ASE on the testing data. always decrease model ASE on the training data. always increase model ASE on the training data.

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter9: Business Intelligence And Analytics

Section: Chapter Questions

Problem 8RQ

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QUESTION

		always increase model ASE on the testing data.
		always decrease model ASE on the testing data.
		always decrease model ASE on the training data.
		always increase model ASE on the training data.

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