Top Online MCQs Econometrics 1

The Post is about Online MCQs Econometrics. The MCQS Econometrics Quiz contains 20 multiple-choice questions on heteroscedasticity, multicollinearity, auxiliary regression, multiple regression, autocorrelation, and regression diagnostics. Let us start with the Online MCQs Econometrics quiz.

MCQs about Multicollinearity, Dummy Variable, Selection of Variables, Error in Variables, Autocorrelation, Time Series, Heteroscedasticity, Simultaneous Equations, and Regression analysis

1. If a Durbin Watson statistic takes a value close to zero what will be the value of the first-order autocorrelation coefficient?

 
 
 
 

2. Which of the following statements is true about autocorrelation?

 
 
 
 

3. Choose a true statement about the Durbin-Watson test

 
 
 
 

4. Which of the following actions does not make sense to struggle against multicollinearity?

 
 
 
 

5. The _____ states that no two independent variables ($X_i$ and $X_j$) can be highly correlated with each other.

 
 
 
 

6. What is a nonlinear function that connects or links a dependent variable to the independent variables mathematically?

 
 
 
 

7. Which one assumption is not related to error in explanatory variables?

 
 
 
 

8. In a regression model with three explanatory variables, there will be _______ auxiliary regressions

 
 
 
 

9. Autocorrelation may occur due to

 
 
 
 

10. When measurement errors are present in the explanatory variable(s) they make

 
 
 
 

11. Heteroscedasticity can be detected by plotting the estimated $\hat{u}_i^2$ against

 
 
 
 

12. What technique models a categorical variable based on one or more independent variables?

 
 
 
 

13. Which of the following can indicate negative autocorrelation?

 
 
 
 

14. What type of regression models a categorical variable based on one or more independent variables?

 
 
 
 

15. The AR(1) process is stationary if

 
 
 
 

16. For the presence and absence of first-order autocorrelation valid tests are

 
 
 
 

17. Which one is not the rule of thumb?

 
 
 
 

18. In a linear regression model, what is the area surrounding the regression line that describes the uncertainty around the predicted outcome at every value of X?

 
 
 
 

19. The value of Durbin Watson $d$ lies between

 
 
 
 

20. Heteroscedasticity is more common in

 
 
 
 

Online MCQs Econometrics with Answers

Online MCQs Econometrics Quiz
  • In a regression model with three explanatory variables, there will be ————– auxiliary regressions
  • The AR(1) process is stationary if
  • The value of Durbin Watson $d$ lies between
  • Which of the following actions does not make sense to struggle against multicollinearity?
  • Autocorrelation may occur due to
  • Which of the following can indicate negative autocorrelation?
  • Which one is not the rule of thumb?
  • Heteroscedasticity can be detected by plotting the estimated $\hat{u}_i^2$ against
  • If a Durbin Watson statistic takes a value close to zero what will be the value of the first-order autocorrelation coefficient?
  • Which of the following statements is true about autocorrelation?
  • When measurement errors are present in the explanatory variable(s) they make
  • Heteroscedasticity is more common in
  • Which one assumption is not related to error in explanatory variables?
  • For the presence and absence of first-order autocorrelation valid tests are
  • Choose a true statement about the Durbin-Watson test
  • What technique models a categorical variable based on one or more independent variables?
  • What is a nonlinear function that connects or links a dependent variable to the independent variables mathematically?
  • What type of regression models a categorical variable based on one or more independent variables?
  • In a linear regression model, what is the area surrounding the regression line that describes the uncertainty around the predicted outcome at every value of X?
  • The ————- states that no two independent variables ($X_i$ and $X_j$) can be highly correlated with each other.
MCQs Econometrics: Statistics Help

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