________ occurs when errors are not independently distributed.
A)Linearity
B)Multicollinearity
C)Autocorrelation
D)Heteroscedasticity

Question

Quizplus · Accepted Answer

Autocorrelation occurs when errors are not independently distributed, meaning that there is a correlation between errors at different points in time or across spatial dimensions. This violates one of the key assumptions of linear regression, which assumes that errors are independent and identically distributed (IID). Multicollinearity refers to the presence of high correlation between predictor variables, which can lead to inflated standard errors and unstable parameter estimates. Linearity refers to the assumption that the relationship between the predictor variables and the response variable is linear, while heteroscedasticity refers to the presence of unequal variance in the errors.

________ Occurs When Errors Are Not Independently Distributed