[R] Strange paradox

CHATTON Anne Anne@Ch@tton @ending from hcuge@ch
Fri Oct 5 10:45:51 CEST 2018


I am currently analysed two nested models using the same sample. Both the simpler model (Model 1 ~ x1 + x2) and the more complex model (Model 2 ~ x1 + x2 + x3 + x4) yield the same adjusted R-square. Yet the p-value associated with the deviance statistic is highly significant (p=0.0047), suggesting that the confounders (x3 and x4) account for the prediction of the dependent variable.

Does anyone have an explanation of this strange paradox?

Thank you for any suggestion.


More information about the R-help mailing list