Question: The Least Square Criterion requires which? A. Values with the lowest values make the best predictors B. The square of the regression solution is the

The "Least Square Criterion" requires which?

A. Values with the lowest values make the best predictors

B. The square of the regression solution is the best predictor

C. The lowest number of subjects that will provide a prediction is best

D. The square of error values must have their lowest possible value

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