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st: RE: RE: RE: Correlation coefficient between discrete and continuous variables


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: RE: RE: Correlation coefficient between discrete and continuous variables
Date   Thu, 20 Nov 2008 20:34:19 -0000

Correlation problems are usually described if not defined as symmetric,
i.e. results are invariant to which variable is labelled as predictor
and which response; indeed qua correlation such labelling is
meaningless. And there's no question of an error term. Does discriminant
analysis match those details? 

Nick 
n.j.cox@durham.ac.uk 

Verkuilen, Jay

Tony Lachenbruch wrote:

>>When the discrete variable is a dichotomy, the test for the
correlation
is the same as the two-sample t-test with the dichotomy as the 'by'
variable.  I've never looked at the case for discrete variables with k
categories.  A little algebra could be fun and illuminating...  (or
not)>>

Isn't this going to be a special case of discriminant analysis with one
continuous predictor?

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