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.
