Dear Joseph Have a look at the questions and answers in the two links below. There the topic has been discussed.
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/68905.html http://finzi.psych.upenn.edu/R/Rhelp02a/archive/6943.html Best regards, Christoph Buser -------------------------------------------------------------- Christoph Buser <[EMAIL PROTECTED]> Seminar fuer Statistik, LEO C13 ETH Zurich 8092 Zurich SWITZERLAND phone: x-41-44-632-4673 fax: 632-1228 http://stat.ethz.ch/~buser/ -------------------------------------------------------------- Joseph LeBouton writes: > Can anyone help me understand why an lm model summary would return an > r.squared of ~0.18 with an intercept term, and an r.squared of ~0.98 > without the intercept? The fit is NOT that much better, according to > plot.lm: residuals are similar between the two models, and a plot of > observed x predicted is almost identical. > > Thanks, > > -Joseph > > -- > ************************************ > Joseph P. LeBouton > Forest Ecology PhD Candidate > Department of Forestry > Michigan State University > East Lansing, Michigan 48824 > > Office phone: 517-355-7744 > email: [EMAIL PROTECTED] > > ______________________________________________ > [email protected] 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. ______________________________________________ [email protected] 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.
