In the multiple regression model, the least squares estimator is derived by
A) minimizing the sum of squared prediction mistakes.
B) setting the sum of squared errors equal to zero.
C) minimizing the absolute difference of the residuals.
D) forcing the smallest distance between the actual and fitted values.
Correct Answer:
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