Home > General Studies (Hindi) > Quizzes > Introduction To Econometrics Practice Test
Introduction To Econometrics Practice Test
Fast practice, instant feedback. Timer auto-submits when time’s up.
Avg score: 28% Most missed: “The violation of the assumption of constant variance of the residual is known as”

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
Time left 00:00
25 Questions

1. The regression coefficient estimated in the presence of autocorrelation in the sample data are NOT
2. The scale applied in statistics which imparts a difference of magnitude and proportions is considered as
3. Autocorrelation is generally occurred in
4. Consider a large population with a mean of 160 and a standard deviation of 25. A random sample of size 64 is taken from this population. What is the standard deviation of the sample mean?
5. When is the problem of dummy variable trap occur?
6. The coefficient of determination, r2 shows
7. Student’s t-distribution curve is symmetrical about mean, it means that
8. Homogeneity of three or more population correlation coefficients can be tested by
9. Which one of the following is NOT a plausible remedy for near multicollinearity?
10. A discrete probability distribution may be represented by
11. Data on one or variables collected at a given point of time
12. Individual respondents, focus groups, and panels of respondents are categorised as
13. The successive trials are with replacement in
14. Formula of coefficient determination is
15. Hetroscedasticity is generally occurred in
16. A Type I error occurs when we:
17. Which one is not the assumption of OLS?
18. When there are both qualitative and quantitative variables are there in the model,
19. A sure way of removing multicollinearity from the model is to
20. In the case of multicollinearity which test will be insignificant?
21. 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?
22. What is the meaning of the term heteroscedasticity"?"
23. Scaling a dependent variable in log form in the log-lin model will------------
24. In the regression function y=α + βx +c
25. All are the types of specification errors EXCEPT: