Need it ASAP Consider a simple linear regression model Y = Bi + B2X + e with E[e|X] = 0. Let b1, b2 be the estimators forBi and B2, Y, = bi + b2 Xi, and ê = Y, - bi - b2 X. Which of the following is false?%3DO a. If the homoskedasticity assumption holds, but e is not normally distributed, thenVar(b2) o?/ E(X, - X)?O b. b, and b, are unbiased even if the homoscedasticity assumption fails.Oc. E(Y - Y,) = E,(Ÿ, – Ý„}² + E .O d. E Y = E"-, Ý .O e. If X = 0, then Cov(b1, b2) = 0.%3D

For the given statement, we know that Homoskedasticity holds but e is not normally distributed then…

Consider a simple linear regression model Y = Bi + B2X + e with E[e|X] = 0. Let b1, b2 be the estimators for Bi and B2, Y, = bi + b2 X, and ê = Y, - b1 - b2 X1. Which of the following is false? %3D %3D %3D %3D O a. If the homoskedasticity assumption holds, but e is not normally distributed, then Var(b2) # o/ E"(X - X? O b. bi and bz are unbiased even if the homoscedasticity assumption fails. O c. E(Y - Y,)² = E",(Ý, – Ý„² + E . O d. E Y = E", Ý. %3! O e. If X, = 0, then Cov(b1, b2) = 0. %3D

Consider a simple linear regression model Y = Bi + B2X + e with E[e|X] = 0. Let b1, b2 be the estimators for Bi and B2, Y, = bi + b2 X, and ê = Y, - b1 - b2 X1. Which of the following is false? %3D %3D %3D %3D O a. If the homoskedasticity assumption holds, but e is not normally distributed, then Var(b2) # o/ E"(X - X? O b. bi and bz are unbiased even if the homoscedasticity assumption fails. O c. E(Y - Y,)² = E",(Ý, – Ý„² + E . O d. E Y = E", Ý. %3! O e. If X, = 0, then Cov(b1, b2) = 0. %3D

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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