No problem, adjusted R-squared can be negative. If there truly is no relationship, then the adjusted R-squared should average to 0, so sometimes it must be negative. All of your R-squared and adjusted R-squared values suggest that there is not much of a relationship (less without the transform).
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare [EMAIL PROTECTED] 801.408.8111 > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > project.org] On Behalf Of Michael > Sent: Sunday, November 09, 2008 6:37 PM > To: r-help > Subject: [R] in R when I get negative adjusted R^2 using "lm", what > might be the problem? > > This is a linear regression of Y onto factors... > > If I take log of Y, and regress onto the factors, I got: > > Multiple R-squared: 0.4023, Adjusted R-squared: 0.2731 > > If I don't take log of Y, and directly regress Y onto the factors, I > got: > > Multiple R-squared: 0.1807, Adjusted R-squared: -0.001112 > > Is this negative adjusted R^2 a problem? > > What observation can I make here and what might be the problem? > > Thanks! > > ______________________________________________ > 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. ______________________________________________ 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.
