This list is about R programming. Statistics questions, which this is, are generally off topic here. Try posting on a statistics list like stats.stackexchange.com instead.
Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Oct 5, 2018 at 1:48 AM CHATTON Anne via R-help <r-help@r-project.org> wrote: > Hello, > > 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. > > Anne > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
