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Consider the model Yi Bo + B1X1i + 2X2i+ Ui. = Show that the OLS estimator satisfies = cv(Y, X) vr(X) where X denotes

Consider the model [ Y_{i}=beta_{0}+beta_{1} X_{1 i}+beta_{2} X_{2 i}+u_{i} . ] Show that the OLS estimator ( hat{bet

Consider the model Yi Bo + B1X1i + 2X2i+ Ui. = Show that the OLS estimator satisfies = cv(Y, X) vr(X) where X denotes the residual from an OLS regression of Xi on X2i. li

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To show that the OLS estimator B1 satisfies B1 CovY X VarX we need to derive the expression for B1 and then simplify it using the properties of covari... blur-text-image

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