Interpreting Multiple Linear Regression Summary
On 09-Nov-11 19:39:54, 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
It is not so much the number of NAs, as the number of observations that get dropped through having at least 1 NA. Provided enough observations remain to get a meaningful fit, you will be OK (though interpretation may be dubious). Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <ted.harding at wlandres.net> Fax-to-email: +44 (0)870 094 0861 Date: 09-Nov-11 Time: 20:06:24 ------------------------------ XFMail ------------------------------