Given forecast errors of 4, 8, and −3, what is the mean square error?
A) 5
B) 9
C) 25
D) 29.67
E) 89

Name: Given forecast errors of 4, 8, and −3, what is the mean square error? A) 5 B) 9 C) 25 D) 29.67 E) 89
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Quizplus · Accepted Answer

The mean square error (MSE) is calculated by squaring each error, summing those squares, and then dividing by the number of errors. Here, MSE = [(4^2) + (8^2) + ((-3)^2)] / 3 = (16 + 64 + 9) / 3 = 89 / 3 = 29.67.

Given Forecast Errors of 4, 8, and −3, What Is