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.

Question

Quizplus · Accepted Answer

Random error in a regression equation is the component of the error that cannot be explained by the model and includes both positive and negative terms. It is expected to sum up to zero when calculating the mean of the residuals. The predicted error is the overall error term, including both systematic (explained by the model) and random error. Random error estimation is not used to estimate the accuracy of the slope as it adds noise to the regression model, making it less accurate.

The Random Error in a Regression Equation