Given that the sum of squares for error is 60 and the sum of squares for regression is 140, then the coefficient of determination is:
A) 0.429
B) 0.300
C) 0.700
D) 0.837
E) 1

Question

Quizplus · Accepted Answer

The coefficient of determination, $R^2$, is calculated as the ratio of the sum of squares for regression (SSR) to the total sum of squares (SST), which is the sum of SSR and the sum of squares for error (SSE). Here, $R^2 = \frac{140}{140 + 60} = \frac{140}{200} = 0.7$.

Given That the Sum of Squares for Error Is 60