The typical amount of error in predicting from the linear regression line is represented by the.
A)standard deviation for the Y variable
B)coefficient of determination
C)standard error of estimate
D)slope of the regression equation

Question

Quizplus · Accepted Answer

The standard error of estimate represents the typical amount of distance between the predicted values and the actual values in a regression analysis. It is calculated as the square root of the mean of the squared differences between the predicted and actual values. Therefore, it is the best choice to represent the amount of error in predicting from the linear regression line.

The Typical Amount of Error in Predicting from the Linear