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

Multiple Choice

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.