Interpreting Multiple Linear Regression Summary
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.