In regression analysis,the total variation in the dependent variable Y,measured by and referred to as SST,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  and referred to as SST,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. SST (total sum of squares) is equal to the sum of SSR (sum of squares due to regression) and SSE (sum of squares due to error). SST represents the total variation in the dependent variable Y, SSR represents the variation explained by the regression model, and SSE represents the unexplained or residual variation.

In Regression Analysis,the Total Variation in the Dependent Variable Y,measured