Article View: sci.math.stat
Article #738testing for linearity
From: mgranaas
Date: Tue, 15 Dec 1992 15:23
Date: Tue, 15 Dec 1992 15:23
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1189 bytes
The simplest test for linearity that I have found is to calculate the conditional means of y on x. Follow that with plotting and calculating the correlation coefficient. If your correlation is near +/- 1 your data are probably linear in form. If not, the plot should show a fairly clear picture of what shape the relation takes. If the plot does not show a fairly clear picture, then you do not have sufficient data at each level of x to dampen out the error. (This happens frequently, and at that point you're back to square one--sorry) Michael Granaas Dept. of Psychology University of South Dakota mgranaas@charlie.usd.edu How do I get a sig file into this post???
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Path: arc1-ca.pugleaf.net!sparky!uunet!zaphod.mps.ohio-state.edu!moe.ksu.ksu.edu!hobbes.physics.uiowa.edu!news.iastate.edu!iscsvax.uni.edu!sunfish!charlie.usd.edu!MGRANAAS Newsgroups: sci.math.stat Subject: testing for linearity Message-ID: <BzB43B.2zG@sunfish.usd.edu> From: mgranaas@charlie.usd.edu Date: Tue, 15 Dec 1992 15:23:34 GMT Reply-To: mgranaas@charlie.usd.edu Sender: news@sunfish.usd.edu Organization: The University of South Dakota Computer Science Dept. Nntp-Posting-Host: charlie Lines: 15