Câu hỏi: 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
Câu 1: Which of the following is the most accurate definition of the term “the OLS estimator”?
A. It comprises the numerical values obtained from OLS estimation
B. It is a formula that, when applied to the data, will yield the parameter estimates
C. It is equivalent to the term “the OLS estimate”
D. It is a collection of all of the data used to estimate a linear regression model.
30/08/2021 8 Lượt xem
Câu 2: Which of the following is the correct value for?
A. 2.89
B. 1.30
C. 0.84
D. We cannot determine the value of from the information given in the question
30/08/2021 8 Lượt xem
Câu 3: The numerical score assigned to the credit rating of a bond is best described as what type of number?
A. Continuous
B. Cardinal
C. Ordinal
D. Nominal
30/08/2021 10 Lượt xem
Câu 4: Consider an increase in the size of the test used to examine a hypothesis from 5% to 10%. Which one of the following would be an implication?
A. The probability of a Type I error is increased
B. The probability of a Type II error is increased
C. The rejection criterion has become more strict
D. The null hypothesis will be rejected less often
30/08/2021 7 Lượt xem
Câu 5: 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
30/08/2021 9 Lượt xem
Câu 6: Which of the following would you expect to be a problem associated with adding lagged values of the dependent variable into a regression equation?
A. The assumption that the regressors are non-stochastic is violated
B. A model with many lags may lead to residual non-normality
C. Adding lags may induce multicollinearity with current values of variables
D. The standard errors of the coefficients will fall as a result of adding more explanatory variables
30/08/2021 8 Lượt xem

Câu hỏi trong đề: Bộ câu hỏi trắc nghiệm môn Kinh tế lượng - Phần 4
- 21 Lượt thi
- 30 Phút
- 20 Câu hỏi
- Sinh viên
Cùng chủ đề Bộ câu hỏi trắc nghiệm môn Kinh tế lượng có đáp án
- 6.1K
- 720
- 20
-
70 người đang thi
- 639.9K
- 154
- 20
-
63 người đang thi
- 1.3K
- 45
- 20
-
88 người đang thi
- 1.6K
- 126
- 20
-
38 người đang thi
Chia sẻ:
Đăng Nhập để viết bình luận