In the combined analysis of x1 and x2 (no interaction), the LRT-based P-values strongly depended on the order of the markers in the regression model (affection ~ x1+x2: px2=5.547e-07 / px1=1.193e-03; affection ~ x1+x2: px1=5.438e-09 / px2=0.21). Why are the pvalues different when the order of x1 and x2 are different?

In the combined analysis of x1 and x2 (no interaction), the LRT-based P-values strongly depended on the order of the markers in the regression model (affection ~ x1+x2: px2=5.547e-07 / px1=1.193e-03; affection ~ x1+x2: px1=5.438e-09 / px2=0.21). Why are the pvalues different when the order of x1 and x2 are different?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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