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Introduction To Econometrics Practice Test
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Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships.  Basically, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". (Source: Wikipedia)

Econometrics relies on techniques such as regression models and null hypothesis testing. Econometrics can also be used to try to forecast future economic or financial trends.

Introduction To Econometrics Practice Test
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25 Questions

1. Student’s t-distribution curve is symmetrical about mean, it means that
2. A hypothesis test is conducted to test whether the mean age of clients at a certain health spa is equal to 25 or not. It is known that the population standard deviation of clients at the spa is 10. 36 clients are randomly selected, and their ages recorded, with the sample mean age being 27.8. What is the test statistic of the hypothesis test in this case?
3. The coefficient of determination, r2 shows
4. The successive trials are with replacement in
5. What is the meaning of the term heteroscedasticity"?"
6. Homogeneity of three or more population correlation coefficients can be tested by
7. What will be the properties of the OLS estimator in the presence of multicollinearity?
8. When is the problem of dummy variable trap occur?
9. Data on one or variables collected at a given point of time
10. Which one is not the assumption of OLS?
11. A Type I error occurs when we:
12. Two events, A and B, are said to be mutually exclusive if:
13. Scaling a dependent variable in log form in the log-lin model will------------
14. Probability of occurrence of an event lies between
15. The regression coefficient estimated in the presence of autocorrelation in the sample data are NOT
16. What would be then consequences for the OLS estimator if heteroscedasticity is present in a regression model but ignored?
17. Which one is equal to explained variation divided by total variation?
18. Hetroscedasticity is generally occurred in
19. BLUE is
20. The scale applied in statistics which imparts a difference of magnitude and proportions is considered as
21. In confidence interval estimation, α = 5%, this means that this interval includes the true β with probability of
22. All are the types of specification errors EXCEPT:
23. In the regression function y=α + βx +c
24. The violation of the assumption of constant variance of the residual is known as
25. When there are both qualitative and quantitative variables are there in the model,

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