In least-squares regression,the best-fitting line minimizes ________.
A)the sum of the squares of the dependent variables
B)the squares of the slope and intercept term
C)the squares of the mean values of X and Y
D)the sum of squares of the observed errors

Question

Quizplus · Accepted Answer

The best-fitting line in least-squares regression minimizes the sum of squares of the observed errors, which is the difference between the predicted value and the actual value for each data point. This is also known as the residual sum of squares or RSS. By minimizing RSS, we ensure that the line fits the data as closely as possible.

In Least-Squares Regression,the Best-Fitting Line Minimizes ________