10- What would be the consequences for the OLS estimator if heteroskedasticity is present in a regression model but ignored?* a. It will be biased b. It will be inconsistent c. It will be inefficient...

10- What would be the consequences for the OLS estimator if<br>heteroskedasticity is present in a regression model but ignored?*<br>a. It will be biased<br>b. It will be inconsistent<br>c. It will be inefficient<br>d. All of (a), (b), and (c) will be true<br>

Extracted text: 10- What would be the consequences for the OLS estimator if heteroskedasticity is present in a regression model but ignored?* a. It will be biased b. It will be inconsistent c. It will be inefficient d. All of (a), (b), and (c) will be true

Jun 11, 2022

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10- What would be the consequences for the OLS estimator if heteroskedasticity is present in a regression model but ignored?* a. It will be biased b. It will be inconsistent c. It will be inefficient...

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