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Text File  |  1992-11-08  |  906 b   |  21 lines
  1. Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
  2. Path: sparky!uunet!stanford.edu!bcm!rice!newsfeed.rice.edu!wupost!darwin.sura.net!paladin.american.edu!auvm!UTXVM.BITNET!RJZ
  3. Message-ID: <STAT-L%92110615585784@VM1.MCGILL.CA>
  4. Newsgroups: bit.listserv.stat-l
  5. Date:         Fri, 6 Nov 1992 02:55:00 CST
  6. Sender:       "STATISTICAL CONSULTING" <STAT-L@MCGILL1.BITNET>
  7. From:         RJZ@UTXVM.BITNET
  8. Subject:      measure of agreement
  9. Lines: 10
  10.  
  11. I am looking for some measure of agreement between continuous variables.
  12. A correlation is not what I have in mind.  For example, given two variables,
  13. Y and X, the correlation between Y and 3*X will be the same as the correlation
  14. between Y and X.  However, differences between observations will not be the
  15. same.  I was thinking of using an avarage deviation, or something along
  16. the same lines.  Any good ideas?
  17.  
  18. Bob Zambarano
  19. university of texas
  20. ccbe001@emx.cc.utexas.edu
  21.