The value of the sum of squares for regression SSR can never be larger than the value of total sum of squares SST.

Name: The value of the sum of squares for regression SSR can never be larger than the value of total sum of squares SST.
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Quizplus · Accepted Answer

This is because SSR represents the amount of variance in the dependent variable that is explained by the regression model, while SST represents the total variance in the dependent variable. Therefore, SSR cannot be larger than SST.

The Value of the Sum of Squares for Regression SSR