Advanced topic: The sum of the squared errors when predicting from the mean is called A)SS_Error. B)proportionate reduction in error. C)SS_Total. D)proportion of variance accounted for.

Question

Quizplus · Accepted Answer

The sum of the squared errors when predicting from the mean is called the total sum of squares (SS) or SS_Total. It represents the variability in the dependent variable without considering any predictors. Option A is not a correct term. Proportionate reduction in error (PRE) is used to measure the proportion of reduction in the variance of the dependent variable by adding one or more predictors to the model. Option D is related to R-squared, which is used to measure the proportion of variance in the dependent variable that is accounted for by the predictors in the model. Therefore, the correct answer is C.

Advanced Topic: the Sum of the Squared Errors When Predicting