The least squares criterion is _____. A) min ?(x_i - y_i)² B) min ?(y_i - $\overline{y}$ _i)² C) min ?(y_i - $\hat { y }$ _i)² D) min ?(y_i - $\hat { y }$ _i)

Question

Quizplus · Accepted Answer

The least squares criterion aims to minimize the sum of the squares of the differences between the observed values (y) and the predicted values ($\hat { y }$). This is accurately represented in option C.

The Least Squares Criterion Is _____ y‾\overline{y}y​ i)2 C) Min ?(Yi -

The Least Squares Criterion Is _____ $\overline{y}$ _i)²
C) Min ?(Y_i -