| Date: | Sat, 14 Jun 2008 11:03:39 -0400 |
| Reply-To: | Peter Flom <peterflomconsulting@mindspring.com> |
| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
| From: | Peter Flom <peterflomconsulting@MINDSPRING.COM> |
| Subject: | Re: Outlier effect |
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| Content-Type: | text/plain; charset=UTF-8 |
Abhay Kaushik <abhaykaushik@HOTMAIL.COM> wrote
>
>I am running a multivariate regression where two of the variables have
>extreme outliers. What options I can use to eliminate or minimize their
>effect on my overall results.
Well, first I'd want to know *why* these variables have outliers.
Options include:
1) Deleting the outliers
2) Transforming the variables
3) Using robust forms of regression
4) Using a regression tree
and probably other things as well.... without some context, it's hard to give a recommendation.
See my post on sas-community, How to ask a statistics question
http://www.sascommunity.org/wiki/How_to_ask_a_statistics_question
Peter L. Flom, PhD
Statistical Consultant
www DOT peterflom DOT com
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