Greg Snow wrote:
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).
Nevertheless, there remains the logical problem of a negative squared value.
In any case, given the relatively large difference between the R-square and the adjusted value, he probably has a relative large number of independent variables compared to the number of rows in the data set. And the dependent variable is probably quite skewed as well.
Tom ______________________________________________ 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.
