The value of the sum of squares for regression can never be smaller than 0.0.

Name: The value of the sum of squares for regression can never be smaller than 0.0.
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Question

Quizplus · Accepted Answer

The sum of squares for regression is defined as the sum of the squared differences between the predicted values of the dependent variable and the actual values. Since squared values are always positive or zero, the sum of squares for regression can never be negative and the minimum value it can take is 0.0. Hence, the statement is true.

The Value of the Sum of Squares for Regression Can