In a case where there is multicollinearity in the model
A) Independent variables have strong linear relationships with each other
B) The variance of the estimates increases when we have multicollinearity.
C) Multicollinearity will lead to bias.
D) Both A and B
E) Both A and C
Correct Answer:
Verified
Q6: Adding more independent variables can reduce multicollinearity.
Q7: Perfect multicollinearity means all independent variables are
Q8: When using an auxiliary equation to
Q9: Which of the following are consequences of
Q10: If the measurement error is in the
Q12: What should we do when we have
Q13: If we add more independent variables into
Q14: Including irrelevant independent variables into the model:
A)
Q15: Which of the following is not a
Q16: Which of the following are associated with
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents