The random error in a regression equation
A)is the predicted error.
B)includes both positive and negative terms.
C)will sum to a large positive number.
D)is used to estimate the accuracy of the slope.
E)is maximized in a least squares regression model.

Question

Quizplus · Accepted Answer

The random error in a regression equation includes both positive and negative terms, as it represents the differences between the predicted and actual values. It is not necessarily indicative of a large positive sum and is not used to estimate the accuracy of the slope. A least squares regression model aims to minimize the sum of squared errors, so it would not be maximized.

The Random Error in a Regression Equation