If SSR is 2592 and SSE is 608, then:
A)the slope is likely to be insignificant.
B)the coefficient of determination is .81.
C)the SST would be smaller than SSR.
D)the standard error would be large.

Question

Quizplus · Accepted Answer

The coefficient of determination (R-squared) is calculated as the proportion of variance in the dependent variable explained by the independent variable(s). It is equal to SSR/SST, where SSR is the sum of squares regression and SST is the total sum of squares. In this case, R-squared would be 1 - (SSE/SST) = 1 - (608/(2592+SSE)) = 0.81. This means that 81% of the variation in the dependent variable can be explained by the independent variable(s). None of the other answer choices are necessarily true given the information provided.

If SSR Is 2592 and SSE Is 608, Then