If the standard error of estimate $S _ { \varepsilon }$ = 15 and n = 12, then the sum of squares for error, SSE, is: $$\begin{array} { | l | l | }
\hline \text { A. } & 150 . \
\hline \text { B. } & 180 . \
\hline \text { C. } & 225 . \
\hline \text { D. } & 2250 . \
\hline
\end{array}$$

Question

If the standard error of estimate $S _ { \varepsilon }$ = 15 and n = 12, then the sum of squares for error, SSE, is: $$\begin{array} { | l | l | } 
\hline \text { A. } & 150 . \
\hline \text { B. } & 180 . \
\hline \text { C. } & 225 . \
\hline \text { D. } & 2250 . \
\hline
\end{array}$$

Quizplus · Accepted Answer

The Answer of If the standard error of estimate $S _ { \varepsilon }$ = 15 and n = 12, then the sum of squares for error, SSE, is: $$\begin{array} { | l | l | } 
\hline \text { A. } & 150 . \
\hline \text { B. } & 180 . \
\hline \text { C. } & 225 . \
\hline \text { D. } & 2250 . \
\hline
\end{array}$$

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

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