If the standard error of estimate s _{$\varepsilon$} = 20 and n = 10,then the sum of squares for error,SSE,is: A) 400 B) 3,200 C) 4,000 D) 40,000

Name: If the standard error of estimate s $\varepsilon$ = 20 and n = 10,then the sum of squares for error,SSE,is: A) 400 B) 3,200 C) 4,000 D) 40,000
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The standard error of estimate (sε) is the square root of the mean square error (MSE), which is SSE/(n-2). Given sε = 20 and n = 10, we have 20 = sqrt(SSE/8). Solving for SSE gives SSE = 3,200.

If the Standard Error of Estimate S ε\varepsilonε = 20 and N = 10,then the Sum of =

If the Standard Error of Estimate S _{$\varepsilon$} = 20 and N = 10,then the Sum of =