In multiple regression the OLS estimator is consistent if: there is no correlation between the dependent variables and the error term. b. there is a perfect correlation between the dependent variables and the error term. c. the sample size is less than the number of parameters in the model. d. there is no correlation between the independent variables and the error term. O a. a O b. b О с. C ○ d. d
In multiple regression the OLS estimator is consistent if: there is no correlation between the dependent variables and the error term. b. there is a perfect correlation between the dependent variables and the error term. c. the sample size is less than the number of parameters in the model. d. there is no correlation between the independent variables and the error term. O a. a O b. b О с. C ○ d. d
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 2E
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![In multiple regression the OLS estimator is consistent if:
there is no correlation between the dependent variables and the error term.
b. there is a perfect correlation between the dependent variables and the error term.
c. the sample size is less than the number of parameters in the model.
d. there is no correlation between the independent variables and the error term.
O a. a
O b. b
О с. C
○ d. d](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffbdd5574-9d6a-4d02-9746-931ab8649747%2F2e783338-c839-459d-80d3-ab7f77e80926%2Few9y6ae_processed.png&w=3840&q=75)
Transcribed Image Text:In multiple regression the OLS estimator is consistent if:
there is no correlation between the dependent variables and the error term.
b. there is a perfect correlation between the dependent variables and the error term.
c. the sample size is less than the number of parameters in the model.
d. there is no correlation between the independent variables and the error term.
O a. a
O b. b
О с. C
○ d. d
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