[R] removing intercept from lm() results in oddly high Rsquared

[Christoph Buser]

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 <buser at stat.math.ethz.ch>
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: lebouton at msu.edu
 > 
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 > and provide commented, minimal, self-contained, reproducible code.