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
Q7: Perfect multicollinearity means all independent variables are
Q8: An omitted variable bias problem occurs when:
A)
Q9: When using an auxiliary equation to
Q10: Which of the following are consequences of
Q11: If the measurement error is in the
Q13: What should we do when we have
Q14: If we add more independent variables into
Q15: Including irrelevant independent variables into the model:
A)
Q16: Which of the following is not a
Q17: 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