Which of the following equalities is correct?
A)SST = SSR + SSE
B)SSR = SST + SSE
C)SSE = SSR + SST
D)SST = SSC + SSR
E)SSE = Actual Value - Predicted Value

Question

Quizplus · Accepted Answer

The Total Sum of Squares (SST) represents the variability of the response variable around the grand mean of the response variable. The Sum of Squares due to Regression (SSR) represents the variability of the response variable around the regression line. The Sum of Squares due to Error (SSE) represents the unexplained variability of the response variable. Therefore, SST can be partitioned into SSR and SSE, as shown in choice A.

Which of the Following Equalities Is Correct