Câu hỏi: Which one of the following is NOT an assumption of the classical linear regression model?

443 Lượt xem
30/08/2021
3.2 10 Đánh giá

A. The explanatory variables are uncorrelated with the error terms

B. The disturbance terms have zero mean

C. The dependent variable is not correlated with the disturbance terms

D. The disturbance terms are independent of one another

Đăng Nhập để xem đáp án
Câu hỏi khác cùng đề thi
Câu 1: Which of the following would NOT be a potential remedy for the problem of multicollinearity between regressors?

A. Removing one of the explanatory variables

B. Transforming the data into logarithms

C. Transforming two of the explanatory variables into ratios

D. Collecting higher frequency data on all of the variables

Xem đáp án

30/08/2021 9 Lượt xem

Câu 2: Which of the following is a correct interpretation of a “95% confidence interval” for a regression parameter?

A. We are 95% sure that the interval contains the true value of the parameter

B. We are 95% sure that our estimate of the coefficient is correct

C. We are 95% sure that the interval contains our estimate of the coefficient

D. In repeated samples, we would derive the same estimate for the coefficient 95% of the time

Xem đáp án

30/08/2021 9 Lượt xem

Câu 3: Which of the following statements is correct concerning the conditions required for OLS to be a usable estimation technique?

A. The model must be linear in the parameters

B. The model must be linear in the variables

C. The model must be linear in the variables and the parameters

D. The model must be linear in the residuals

Xem đáp án

30/08/2021 7 Lượt xem

Câu 4: Suppose that we wanted to sum the 2007 returns on ten shares to calculate the return on a portfolio over that year. What method of calculating the individual stock returns would enable us to do this?

A. Simple

B. Continuously compounded

C. Neither approach would allow us to do this validly

D. Either approach could be used and they would both give the same portfolio return

Xem đáp án

30/08/2021 9 Lượt xem

Câu 5: Which of the following is NOT a good reason for including a disturbance term in a regression equation?

A. It captures omitted determinants of the dependent variable

B. To allow for the non-zero mean of the dependent variable

C. To allow for errors in the measurement of the dependent variable

D. To allow for random influences on the dependent variable

Xem đáp án

30/08/2021 8 Lượt xem

Câu 6: Consider a standard normally distributed variable, a t-distributed variable with d degrees of freedom, and an F-distributed variable with (1, d) degrees of freedom. Which of the following statements is FALSE?

A. The standard normal is a special case of the t-distribution, the square of which is a special case of the F-distribution

B. Since the three distributions are related, the 5% critical values from each will be the same

C. Asymptotically, a given test conducted using any of the three distributions will lead to the same conclusion

D. The normal and t- distributions are symmetric about zero while the F- takes only positive values

Xem đáp án

30/08/2021 9 Lượt xem

Chưa có bình luận

Đăng Nhập để viết bình luận

Bộ câu hỏi trắc nghiệm môn Kinh tế lượng - Phần 4
Thông tin thêm
  • 21 Lượt thi
  • 30 Phút
  • 20 Câu hỏi
  • Sinh viên