For the values of the coefficient of determination listed below,which one implies the greatest value of SSR (regression sum of squares)given that SST = 500?
A) 0.95
B) -1.00
C) 0.28
D) 0.00
E) -0.88

Question

Quizplus · Accepted Answer

The coefficient of determination, R-squared, is defined as the ratio of regression sum of squares (SSR) to the total sum of squares (SST). Thus, if SST = 500, the SSR will be highest when R-squared is highest. 
Out of the given options, only A (0.95) represents the highest possible R-squared value (since R-squared is always between 0 and 1). Therefore, A implies the greatest value of SSR.

For the Values of the Coefficient of Determination Listed Below,which