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Which of the following problems or violations of the general linear regression model assumptions results in estimators that are biased but still minimum variance? omission
Which of the following problems or violations of the general linear regression model assumptions results in estimators that are biased but still minimum variance?
- omission of a relevant variable
- inclusion of an irrelevant variable
- heteroscedasticity
- serial correlation
- none of the above
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