Which of the following statements best describes why a linear regression is also called a least squares regression model?
A)A linear regression is also called a least squares regression model because the regression line is calculated by minimizing the square of the difference between each actual x data value and the predicted x value.
B)A linear regression is also called a least squares regression model because the regression line is calculated by minimizing the sum of the difference between each actual y data value and the predicted y value.
C)A linear regression is also called a least squares regression model because the regression line is calculated by minimizing the square of each actual y data value and the predicted y value.
D)why a A linear regression is also called a least squares regression model because the regression line is calculated by minimizing the sum of the square of the differences between each actual y data value and the predicted y value.

Question

Quizplus · Accepted Answer

In the least squares regression model, the regression line is calculated by minimizing the sum of the square of the differences between each actual y data value and the predicted y value. Therefore, statement D is the correct answer. A, B, and C are not correct because they do not accurately describe the method used to calculate the regression line in a least squares regression model.

Which of the Following Statements Best Describes Why a Linear