Advanced topic: What is the difference between the SS_Error and SS_Total? A)SS_Error is an individual score; SS_Total takes into account the error of an entire study. B)SS_Error uses the prediction rule; SS_Total predicts from the mean. C)SS_Error predicts from the mean; SS_Total uses the prediction rule. D)SS_Error takes into account the variance of both populations; SS_Total takes into account only the variance in the predictor variable.

Question

Quizplus · Accepted Answer

SS_Error measures the variance of the residuals from the prediction rule, while SS_Total measures the variance of the data from the mean.

Advanced Topic: What Is the Difference Between the SSError and SSTotal

Advanced Topic: What Is the Difference Between the SS_Error and SS_Total