Câu hỏi: 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
Câu 1: 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
30/08/2021 9 Lượt xem
Câu 2: What is the relationship, if any, between the normal and t-distributions?
A. A t-distribution with zero degrees of freedom is a normal
B. A t-distribution with one degree of freedom is a normal
C. A t-distribution with infinite degrees of freedom is a normal
D. There is no relationship between the two distributions
30/08/2021 9 Lượt xem
Câu 3: Which one of the following is NOT an assumption of the classical linear regression model?
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
30/08/2021 8 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
30/08/2021 9 Lượt xem
Câu 5: The value of the Durbin Watson test statistic in a regression with 4 regressors (including the constant term) estimated on 100 observations is 3.6. What might we suggest from this?
A. The residuals are positively autocorrelated
B. The residuals are negatively autocorrelated
C. There is no autocorrelation in the residuals
D. The test statistic has fallen in the intermediate region
30/08/2021 9 Lượt xem
Câu 6: 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

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