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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? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: RE: RE: RE: RE: Correlation coefficient between discrete and continuous variables***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

**References**:**st: Correlation coefficient between discrete and continuous variables***From:*"Sergiy Radyakin" <serjradyakin@gmail.com>

**st: RE: Correlation coefficient between discrete and continuous variables***From:*"Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>

**st: RE: RE: Correlation coefficient between discrete and continuous variables***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

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