If the standard error of estimate $S _ { \varepsilon }$ = 20 and n = 8, then the sum of squares for error, SSE, is 2400.

Question

Quizplus · Accepted Answer

The sum of squares for error (SSE) is calculated as $nS _ { \varepsilon } ^ { 2 }$, where $n$ is the sample size and $S _ { \varepsilon }$ is the standard error of estimate. In this case, $n = 8$ and $S _ { \varepsilon } = 20$, so $SSE = 8 \times 20 ^ { 2 } = 2400$.

If the Standard Error of Estimate SεS _ { \varepsilon }Sε​

If the Standard Error of Estimate $S _ { \varepsilon }$