The measure of accuracy of prediction in linear regression is provided by the.
A)standard deviation of Y '
B)standard deviation of Y - Y values
C)standard error of estimate
D)standard error of the mean

Question

Quizplus · Accepted Answer

The standard error of estimate is a measure of the accuracy of prediction in linear regression. It is the standard deviation of the errors (residuals) between the predicted Y values and the actual Y values in the sample data. The standard deviation of Y' (predicted Y values) and the standard deviation of Y - Y values (deviation from the mean) are not measures of prediction accuracy in linear regression. The standard error of the mean is a measure of the variability of sample means and is not directly related to prediction accuracy in linear regression.

The Measure of Accuracy of Prediction in Linear Regression Is