Consider the multiple regression model Y = a + Bj X1 + 62X2 + u . When omitting X2 from the regression, then there will be omitted variable bias for B Only if X1 and X2 are correlated, and ß1 # 0 Only if X1 and X2 are correlated, and ß2 # 0 Only ifX1 and X2 are correlated, ßi # 0 and ß2 # 0 Only if ß1 # 0 and ß2 # 0

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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Consider the multiple regression model Y
a + B1 X1 + ß2 X2 + u . When omitting X2 from the
regression, then there will be omitted variable bias for B
Only if X1 and X2 are correlated, and ß1 # 0
Only if X1 and X2 are correlated, and B2 + 0
Only if X1 and X2 are correlated, ß1 # 0 and B2 # 0
O Only if ß1 + 0 and ß2 # 0
Transcribed Image Text:Consider the multiple regression model Y a + B1 X1 + ß2 X2 + u . When omitting X2 from the regression, then there will be omitted variable bias for B Only if X1 and X2 are correlated, and ß1 # 0 Only if X1 and X2 are correlated, and B2 + 0 Only if X1 and X2 are correlated, ß1 # 0 and B2 # 0 O Only if ß1 + 0 and ß2 # 0
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