Question: Consider a simple linear regression model with nonstochastic regressor: Yi = B1 + B2Xi + ui. 1. [3 points] What are the assumptions of this

Consider a simple linear regression model with nonstochastic regressor: Yi =

Consider a simple linear regression model with nonstochastic regressor: Yi = B1 + B2Xi + ui. 1. [3 points] What are the assumptions of this model so that the OLS estimators are BLUE (best linear unbiased estimates)? 2. [3 points] Given that B2 = B2 + E (Xi - X)ui E(Xi - X)2, show that B2 is an unbiased estimator of B2

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