"Least-squares" in the term "least-squares regression line" refers to a. minimizing the products of each value of the response variable and the predicted value based on the regression equation. X b. minimizing the sum of the squares of all values of the explanatory variable. c. minimizing the squares of the differences between each value of the response variable and each value of the explanatory variable. d. minimizing the sum of the squares of all values of the response variable. e. minimizing the sum of the squares of the residuals.

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