An assumption in linear regression is the independence of the:
A) differences between predicted and actual dependent variable values.
B) associations between the independent variables and the dependent variable.
C) differences between the elements in the regression equation.
D) associations between the y-intercept and the mean of the dependent variable values.

Question

Quizplus · Accepted Answer

The assumption of independence in linear regression primarily concerns the residuals (differences between predicted and actual dependent variable values), not the variables themselves. This means that the residuals should not be correlated with each other; each data point's error term should be independent of the others.

An Assumption in Linear Regression Is the Independence of The