In regression analysis, the total variation in the dependent variable y, measured by $\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }$ , can be decomposed into two parts: the explained variation, measured by SSR, and the unexplained variation, measured by SSE.

Question

Quizplus · Accepted Answer

In regression analysis, the total variation in the dependent variable is decomposed into the explained variation (SSR) and the unexplained variation (SSE), where SSR + SSE = SST (total sum of squares).

In Regression Analysis, the Total Variation in the Dependent Variable ∑(yi−yˉ)2\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }∑(yi​−yˉ​)2

In Regression Analysis, the Total Variation in the Dependent Variable $\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }$