The predictor certainly doesn't have to be normally distributed, but if
it's too skewed there's a higher risk of bias caused by values with
large leverage.
Al Feiveson
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Maarten buis
Sent: Tuesday, November 27, 2007 11:36 AM
To: [email protected]
Subject: Re: st: RE: Testing normality of a continuous predictor
variable in a logistic model
--- "Soremekun, Seyi" <[email protected]> wrote:
> Because it is a logistic and not probit regression you are attempting,
> it actually does not matter if your variables are normal or not.
Why would it matter whether the explanatory variables are normaly
distributed in a probit regression?
-- Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
___________________________________________________________
Want ideas for reducing your carbon footprint? Visit Yahoo! For Good
http://uk.promotions.yahoo.com/forgood/environment.html
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
