If the standard error of estimate s _e = 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 e = 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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Quizplus · Accepted Answer

The sum of squares for error (SSE) can be calculated using the formula SSE = s^2 * (n - 2), where s is the standard error of estimate and n is the sample size. Given s = 20 and n = 10, SSE = 20^2 * (10 - 2) = 400 * 8 = 3,200.

If the Standard Error of Estimate S E

If the Standard Error of Estimate S _E