In regression analysis, the total variation is: A) the sum of the squared deviations of each value of y from the mean of x B) the sum of the explained variation and unexplained variation C) the standard error of the forecast D) equal to R²

Question

Quizplus · Accepted Answer

The total variation in regression analysis is the sum of the explained variation (the portion of variation in the dependent variable that is explained by the independent variable(s)) and unexplained variation (the portion of variation that is not explained by the independent variable(s)). Therefore, option B is the correct choice. Option A is incorrect since it describes the variation of the dependent variable, y, and not the total variation. Option C is incorrect since the standard error of the forecast is a measure of the accuracy of the prediction model and does not relate to the total variation. Option D appears to be a jumbled equation and is not relevant to the concept of total variation.

In Regression Analysis, the Total Variation Is