Question 1

Which of the following can induce a 'multicollinearity' problem in a regression model?

Answer : **C**

Question 2

Which of the following is not a direct cause of autocorrelation or heteroskedasticity in the residuals of a regression model?

Answer : **B**

Question 3

A linear regression gives the following output:

Figures in square brackets are estimated standard errors of the coefficient estimates.

Which of the following is an approximate 95% confidence interval for the true value of the coefficient of ?

Answer : **C**

Question 4

A linear regression gives the following output:

Figures in square brackets are estimated standard errors of the coefficient estimates. What is the value of the test statistic for the hypothesis that the coefficient of is zero against the alternative that is less than zero?

Answer : **D**

Question 5

A linear regression gives the following output:

Figures in square brackets are estimated standard errors of the coefficient estimates.

What is the value of the test statistic for the hypothesis that the coefficient of is less than 1?

Answer : **B**

Question 6

When the errors in a linear regression show signs of positive autocorrelation, which of the statements below is true?

Answer : **D**

Question 7

Which of the following is consistent with the definition of a Type I error?

Answer : **B**

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Total 132 questions

Total 132 questions