In a simple linear regression problem, suppose the sum of squares for regression (SSR) is 90. Which of the following must be true?
A) The correlation coefficient is 0.9.
B) The coefficient of determination is 0.81.
C) The total sum of squares (Total SS) is at least 90.
D) The sum of squares for error (SSE) is at most 90.
E) The coefficient of determination is 90.

Question

Quizplus · Accepted Answer

The total sum of squares (Total SS) is the sum of SSR and SSE, so it must be at least 90.

In a Simple Linear Regression Problem, Suppose the Sum of Squares