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Including an irrelevant variable in a regression model causes A. the se(bk) to decrease. B. the...

Including an irrelevant variable in a regression model causes

A. the se(bk) to decrease.

B. the OLS coefficient estimates to be more efficient.

C. the OLS coefficient estimates to be more inefficient.

D. the coefficient estimates to be biased.

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Answer #1

When an  irrelevant variable in a regression model is added the variance of the estimates increase

Hence,

C. the OLS coefficient estimates to be more inefficient.

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