The coefficient of determination represents the proportion of:
A)SSE (error sum of squares)that the regression model explains
B)SSR (regression sum of squares)that the regression model explains
C)SST (total sum of squares)that the regression model explains
D)SSR (regression sum of squares)that the regression model does not explain

Question

Quizplus · Accepted Answer

The coefficient of determination, often denoted as R², represents the proportion of the total variation in the dependent variable (SST) that is explained by the independent variable(s) in the regression model (SSR).

The Coefficient of Determination Represents the Proportion Of