Question

The standard error of estimate (SE) is the ___________________.
standard difference between the regression line and the predicted mean
standard distance between the regression line and the mean
standard distance between the y values and predicted values
standard distance between the sample and population mean

Answer 1

Solution:

In regression analysis, we estimate regression line which is used to predict the values of dependent variable y.

Thus difference between actual values y and predicted values is called as error or residual.

The square root of average of the squared error is called as the standard error of estimate.

That is square root of of average of  squared difference between the y values and predicted values is called the standard error of estimate.

Thus correct answer is:

standard distance between the y values and predicted values