[R] Interpreting Multiple Linear Regression Summary

(Ted Harding) ted.harding at wlandres.net
Wed Nov 9 21:06:30 CET 2011

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).


E-Mail: (Ted Harding) <ted.harding at wlandres.net>
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Date: 09-Nov-11                                       Time: 20:06:24
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