Which of the Following Statements Best Describes Why a Linear

Which of the following statements best describes why a linear regression is also called a least squares regression model? $\begin{array}{|l|l|}\hline A&\text {A linear regression is al so called a least squares regression model because the regression }\\&\text { line is calculated by minimizing the square of the difference}\\&\text { between each actual \( x \) data value and the predicted \( \mathrm{x} \) value. }\\\hline B&\text { A linear regression is al so called a least squares regression model because the regression line is }\\&\text { calculated by minimizing the sum of the difference between}\\&\text {each actual y data value and the predicted y value. }\\\hline C&\text { A linear regression is al so called a least squares regression model because the regression line is}\\&\text {calculated by minimizing the square of each actual \( y \) }\\&\text { data value and the predicted \( y \) value.}\\\hline D&\text { A. linear regression is also called a least squares regression model because the regression line is calculated}\\&\text {by minimizing the sum of the square of the differences between }\\&\text { each actual y data value and the predicted y value.}\\\hline \end{array}$