On Jul 20, 2010, at 11:41 AM, StatWM wrote: > > Dear R community, > > is there a way to get correct t- and p-values and R squared for linear > regression models specified without an intercept? > > example model: > summary(lm(y ~ 0 + x)) > > This gives too low p-values and too high R squared. Is there a way to > correct it? Or should I specify with intercept to get the correct values?
They are already correct. If you want incorrect ones, please specify their definition... > Thank you in advance! > > Wojtek Musial > -- > View this message in context: > http://r.789695.n4.nabble.com/Correct-statistical-inference-for-linear-regression-models-without-intercept-in-R-tp2295193p2295193.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > 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. -- Peter Dalgaard Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@r-project.org mailing list 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.
