[R] Strange paradox
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.
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