In regression analysis, the total variation in the dependent variable y, measured by , can be decomposed into two parts: the explained variation, measured by SSR, and the unexplained variation, measured by SSE.

Question

In regression analysis, the total variation in the dependent variable y, measured by  , can be decomposed into two parts: the explained variation, measured by SSR, and the unexplained variation, measured by SSE.

Quizplus · Accepted Answer

This statement is true. The total variation in the dependent variable y can be explained by the sum of squared residuals (SSE) and the sum of squared regression (SSR), which represents the explained variation. Therefore, the total variation = SSE + SSR.

In Regression Analysis, the Total Variation in the Dependent Variable