If the standard error of estimate = 15 and n = 12, then the sum of squares for error, SSE, is:
A)150.
B)180.
C)225.
D)2250.

Question

If the standard error of estimate  = 15 and n = 12, then the sum of squares for error, SSE, is:
A)150. 
B)180. 
C)225. 
D)2250.

Quizplus · Accepted Answer

The sum of squares for error (SSE) can be calculated using the formula $SSE = S_{ε}^2 \times (n - 2)$, where $S_{ε}$ is the standard error of estimate and $n$ is the sample size. Plugging in the given values, $SSE = 15^2 \times (12 - 2) = 225 \times 10 = 2250.$

If the Standard Error of Estimate = 15 and N