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

Name: If the standard error of estimate $S _ { \varepsilon }$ = 20 and n = 8, then the sum of squares for error, SSE, is 2400.
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The sum of squares for error (SSE) is calculated by multiplying the square of the standard error of estimate (Sε) by the sample size (n). In this case, SSE = (20)^2 * 8 = 2400.

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

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