Thank you both for your advice. I'll follow up on it, but it is good
to know that this is a known effect.
Claus
On Wed, Mar 31, 2010 at 3:02 PM, Stephan Kolassa stephan.kola...@gmx.de wrote:
Hi Claus,
welcome to the wonderful world of collinearity (or multicollinearity, as
some call it)! You
Dear list,
I want to perform a logistic regression analysis with multiple
categorical predictors (i.e., a logit) on some data where there is a
very definite relationship between one predicator and the
response/independent variable. The problem I have is that in such a
case the p value goes very
Hi Claus,
welcome to the wonderful world of collinearity (or multicollinearity, as
some call it)! You have a near linear relationship between some of your
predictors, which can (and in your case does) lead to extreme parameter
estimates, which in some cases almost cancel out (a coefficient of
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