The value of the sum of squares for regression, SSR, can never be equal to the value of total sum of squares, SST.

Question

Quizplus · Accepted Answer

The value of the sum of squares for regression, SSR, can be equal to the value of total sum of squares, SST, if the regression model fits the data perfectly. In this case, the residual sum of squares, SSE, will be zero, and SSR+SSE=SST. However, this is rare in practice and often indicates overfitting.

The Value of the Sum of Squares for Regression, SSR