Answer:
The sum of squares due to regression is 956.
Step-by-step explanation:
The sources of variation while doing regression analysis are typically called Regression and Residual. Regression is the portion that can be explained by the regression equation and the Residual is the portion that is left unexplained by the regression equation.
The relation between total variation (SST), explained variation (SSR) and unexplained variation (SSE) is,
SST = SSR + SSE
It is provided that:
SST = 1032
SSE = 76
Compute the value of SSR as follows:
SST = SSR + SSE
SSR = SST - SSE
= 1032 - 76
= 956
Thus, the sum of squares due to regression is 956.
