A brief explanation as to why this is false would be greatly appreciated. 16. Consider the two linear regression models Model A: y = 3o + B1X1 + u Model B: y = 3o + B1 X1 + B2x2 + uP Let of = Var(u^) and of = Var(u®). If 3, + 0 and 2 + 0, then there is not enough information to determine if o < o or if o > o. (a) true (b) false

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Question

2

A brief explanation as to why this is false
would be greatly appreciated.
16. Consider the two linear regression models
Model A: y = Bo + B1X1 + uA
Model B: y = Bo + B1 X1 + B2X2 + uB
Let oå = Var(u^) and of = Var(u®). If B, 0 and B2 + 0, then there is not enough
information to determine if o < o or if oå > o.
(a) true
(b) false
Transcribed Image Text:A brief explanation as to why this is false would be greatly appreciated. 16. Consider the two linear regression models Model A: y = Bo + B1X1 + uA Model B: y = Bo + B1 X1 + B2X2 + uB Let oå = Var(u^) and of = Var(u®). If B, 0 and B2 + 0, then there is not enough information to determine if o < o or if oå > o. (a) true (b) false
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