The sum of squared errors (SSE)of a least squares regression model decreases when new terms are
added to the model.

Name: The sum of squared errors (SSE)of a least squares regression model decreases when new terms are added to the model.
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Question

Quizplus · Accepted Answer

Adding new terms to a least squares regression model typically allows for a more accurate fit to the observed data, thereby reducing the sum of squared errors (SSE) as the model can better capture the variability in the data.

The Sum of Squared Errors (SSE)of a Least Squares Regression