There is only one row with a complete set of observations; I think lm() is throwing out the rest.
Rich Shepard wrote: > > On Wed, 9 Nov 2011, John C Frain wrote: > >> As far as I know if there is an NA in any variable in an observation the >> default is to drop the entire observation. Thus there are no observations >> in your calculation > > John, > > Hadn't realized that. I know there are NA's in other data frames that > yield model results. Perhaps it is the excessive numbers in this set that > are the problem. > > Thanks, > > Rich > > ______________________________________________ > R-help@ 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. > -- View this message in context: http://r.789695.n4.nabble.com/Interpreting-Multiple-Linear-Regression-Summary-tp4020516p4021352.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
