Consider the multiple regression model containing three independent variables, under Assumptions MLR.1 through MLR.4: y = Bo + Biti + Bx, + Bzł3 + u. You are interested in estimating the sum of the parameters on x, and x2; call this 01 = Bo + B1. Show that ô, = Bi + Bz is an unbiased estimator of 01. |(ii) Find Var(@1) in terms of Var(ß),Var(ß,), and Corr(ß1. B2).
Consider the multiple regression model containing three independent variables, under Assumptions MLR.1 through MLR.4: y = Bo + Biti + Bx, + Bzł3 + u. You are interested in estimating the sum of the parameters on x, and x2; call this 01 = Bo + B1. Show that ô, = Bi + Bz is an unbiased estimator of 01. |(ii) Find Var(@1) in terms of Var(ß),Var(ß,), and Corr(ß1. B2).
MATLAB: An Introduction with Applications
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
Transcribed Image Text:Consider the multiple regression model containing three independent variables, under Assumptions
MLR.1 through MLR.4:
y = Bo + Biti + Bx, + Bzł3 + u.
You are interested in estimating the sum of the parameters on x, and x2; call this 01 = Bo + B1.
Show that ô, = Bi + Bz is an unbiased estimator of 01.
|(ii) Find Var(@1) in terms of Var(ß),Var(ß,), and Corr(ß1. B2).
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