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

We know that the formula for calculating SSE is:
SSE = (n-2) * S^2e
where S^2e is the variance of the errors.

Given:
S^2e = (S_e)^2 = (20)^2 = 400
n = 8

Substituting the values in the SSE formula, we get:
SSE = (8-2) * 400 = 2400

Therefore, the statement is true.

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