If the sum of squares for error (SSE) is equal to zero, then the coefficient of determination, r2, must be:
A) 1.5.
B) 1.0.
C) 0.5.
D) 0

Question

Quizplus · Accepted Answer

When the sum of squares for error (SSE) is equal to zero, it means that the predicted values perfectly match the actual values, resulting in no error. Therefore, the coefficient of determination, r2, will be equal to 1.0 because all of the variance in the dependent variable is explained by the independent variable.

If the Sum of Squares for Error (SSE) Is Equal