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From |
"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu> |

To |
<statalist@hsphsun2.harvard.edu> |

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

Date |
Thu, 20 Nov 2008 16:14:09 -0500 |

>> 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? >> No, but cancor and discriminant analysis aren't obviously the same yet they are mathematically. Obviously a single predictor generates only one canonical correlation. I guess it depends on what you want to do. I missed the original post (stupid me) so I probably expressed an opinion on the wrong thing anyway. * * 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/

**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>

**st: RE: RE: RE: Correlation coefficient between discrete and continuous variables***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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