In multiple regression models, the values of the error variable $\varepsilon$ are assumed to be:
A) autocorrelated.
B) dependent on each other.
C) independent of each other.
D) always positive.

Question

Quizplus · Accepted Answer

In multiple regression models, one of the key assumptions is that the error terms ($\varepsilon$) are independent of each other, meaning there is no correlation between them.

In Multiple Regression Models, the Values of the Error Variable ε\varepsilonε

In Multiple Regression Models, the Values of the Error Variable $\varepsilon$