b. A regression on the original regressors, q₁² and a constant term yields the following statistics: R2 0.296041 F = 1.177507 coeff of q² has a t-statistic of 2.876 (i) With this information, which test can you implement to deal with the problem omitted variables and why? (ii) Implement the test as stated in b(i) and interpret the results. (iii) What is (are) the consequence(s) of the problem alluded to above on the estimators?
b. A regression on the original regressors, q₁² and a constant term yields the following statistics: R2 0.296041 F = 1.177507 coeff of q² has a t-statistic of 2.876 (i) With this information, which test can you implement to deal with the problem omitted variables and why? (ii) Implement the test as stated in b(i) and interpret the results. (iii) What is (are) the consequence(s) of the problem alluded to above on the estimators?
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 5E
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![b. A regression on the original regressors, q₁² and a constant term yields the following
statistics:
R2 0.296041 F = 1.177507 coeff of q² has a t-statistic of 2.876
(i) With this information, which test can you implement to deal with the problem
omitted variables and why?
(ii) Implement the test as stated in b(i) and interpret the results.
(iii) What is (are) the consequence(s) of the problem alluded to above on the estimators?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F059ab12e-d3dc-4134-b1f7-60df45b4888a%2Ff8c154dc-6279-4d18-9de3-96d07d6fe0d5%2F20omwug_processed.jpeg&w=3840&q=75)
Transcribed Image Text:b. A regression on the original regressors, q₁² and a constant term yields the following
statistics:
R2 0.296041 F = 1.177507 coeff of q² has a t-statistic of 2.876
(i) With this information, which test can you implement to deal with the problem
omitted variables and why?
(ii) Implement the test as stated in b(i) and interpret the results.
(iii) What is (are) the consequence(s) of the problem alluded to above on the estimators?
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