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

From: Joseph LeBouton <lebouton_at_msu.edu>
Date: Mon 07 Aug 2006 - 08:21:03 EST

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.




Joseph P. LeBouton
Forest Ecology PhD Candidate
Department of Forestry
Michigan State University
East Lansing, Michigan 48824

Office phone: 517-355-7744
email: lebouton@msu.edu

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