Home > Economics 101 > 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 coefficient of determination, r2 shows
2. What is the meaning of the term heteroscedasticity"?"
3. Probability of occurrence of an event lies between
4. When is the problem of dummy variable trap occur?
5. BLUE is
6. When there are both qualitative and quantitative variables are there in the model,
7. Autocorrelation is generally occurred in
8. Hetroscedasticity is generally occurred in
9. White's test is used for the detection of ...........?
10. Formula of coefficient determination is
11. 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?
12. Individual respondents, focus groups, and panels of respondents are categorised as
13. The regression coefficient estimated in the presence of autocorrelation in the sample data are NOT
14. The scale applied in statistics which imparts a difference of magnitude and proportions is considered as
15. In the regression function y=α + βx +c
16. Scaling a dependent variable in log form in the log-lin model will------------
17. Which one of the following is NOT a plausible remedy for near multicollinearity?
18. All are the types of specification errors EXCEPT:
19. What will be the properties of the OLS estimator in the presence of multicollinearity?
20. Which one is equal to explained variation divided by total variation?
21. 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?
22. In confidence interval estimation, α = 5%, this means that this interval includes the true β with probability of
23. A sure way of removing multicollinearity from the model is to
24. Homogeneity of three or more population correlation coefficients can be tested by
25. In the case of multicollinearity which test will be insignificant?

⚡ Recently practiced quizzes in this topic
Live quiz activity
Economics 101 Practice Test: Tradeoff between Inflation and Unemployment Economics Knowledge Test Questions Microeconomics Final Exam Basics of Economics Practice Test Economics 101 Practice Test: Open-Economy Macroeconomics Economics 101 Practice Test: Saving, Investment, and the Financial System Economics 101 Practice Test: Measuring a Nation's Income Economics 101 Practice Test: Basics of Macroeconomic Policy Economics 101 Practice Test: Theory of the Open Economy Economics 101 Practice Test: The Market Forces of Supply and Demand
 
❤ If you liked Fatskills, consider supporting us by checking out The Life Manuals You Never Got.

🌈  Our mission is to help improve your scores in any subject and exam withonline quizzes, practice tests, study guides, & advice for students. Since 2018.
About | Explore | User Guide | Topics | Subjects | Doubt Solver | Career Aptitude Test | Answers | Free Tools | OSHA Basics Quiz | What Should We Know?
Privacy | Terms |
Without work one finishes nothing. - Ralph Waldo Emerson
© 2026 Fatskills.com

All trademarks, logos and brand names are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, trademarks and brands does not imply endorsement.