A reference to the criterion used to select the regression line, to minimize the squared distances between the estimated straight line and the observed values is called
A)Mean square error.
B)Sum of Squares.
C)Maximum likelihood.
D)Least Squares.

Question

Quizplus · Accepted Answer

The criterion used to select the regression line is called Least Squares, which minimizes the sum of squared distances between the estimated straight line and the observed values. Therefore, the best choice is D. The other options, mean square error, sum of squares, and maximum likelihood, are not specific to this criterion and do not fully describe the method used to select the regression line.

A Reference to the Criterion Used to Select the Regression