Multiple Choice
In a multiple regression model, the OLS estimator is consistent if:
A) there is no correlation between the dependent variables and the error term.
B) there is a perfect correlation between the dependent variables and the error term.
C) the sample size is less than the number of parameters in the model.
D) there is no correlation between the independent variables and the error term.
Correct Answer:
Verified
Correct Answer:
Verified
Q4: If <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB8272/.jpg" alt="If <sub>1</sub>
Q5: A useful rule of thumb is that
Q6: The F statistic is also referred to
Q7: The n-R-squared statistic also refers to the:<br>A)F
Q8: If <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB8272/.jpg" alt="If <sub>j</sub>,
Q10: If <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB8272/.jpg" alt="If <sub>j</sub>,
Q11: If <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB8272/.jpg" alt="If <sub>j</sub>
Q12: If Cov(z,x) ≠ 0, then z and
Q13: When the error term is not normally
Q14: Even if the error terms in a