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no assumption in a regression model is violated, then the OLS estimators have desirable
properties. In particular, the OLS estimators of the regression coefficients (the i 's) are Multiple
Choice correlated and heteroskedastic. multicollinear and endogenous. nonlinear and
inconsistent. unbiased and efficient.

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no assumption in a regression model is violated then the OL.pdf

  • 1. no assumption in a regression model is violated, then the OLS estimators have desirable properties. In particular, the OLS estimators of the regression coefficients (the i 's) are Multiple Choice correlated and heteroskedastic. multicollinear and endogenous. nonlinear and inconsistent. unbiased and efficient.