Question #132
Reading: Reading 1 Multiple Regression
PDF File: Reading 1 Multiple Regression.pdf
Page: 65
Status: Unattempted
Correct Answer: A
Part of Context Group: Q132-134
First in Group
Shared Context
Question
Which model misspecification is most likely to cause multicollinearity?
Answer Choices:
A. Inappropriate variable scaling
B. Inappropriate variable form
C. Ommission of important variable(s)
Explanation
Inappropriate variable scaling may lead to multicollinearity or heteroskedasticity in
residuals. Omission of important variable may lead to biased and inconsistent regression
parameters and also heteroskedasticity/serial correlation in residuals. Inappropriate
variable form can lead to heteroskedasticity in residuals.