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? 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.
