i repeat ... the r value shows the extent to which a straight line (in a 2 
variable problem) can pass through a scatterplot and, be close TO the data 
points

in that sense, r is an index value for the extent to which a straight line 
MODEL fits the data ...

knowing how the dots on the scatterplot got to be ... is totally outside 
the realm of what r can know



At 10:06 AM 12/6/01 -0700, Alex Yu wrote:

>Whether we can get causal inferences out of correlation and equations has
>been a dispute between two camps:
>
>For causation: Clark Glymour (Philosopher), Pearl (Computer scientist),
>James Woodward (Philosopher)
>
>Against: Nancy Cartwright (Economist and philosopher), David Freedman
>(Mathematician)
>
>One comment fromm this list is about that causal inferences cannot be
>drawn from non-experimental design. Clark Glymour asserts that using
>Causal Markov condition and faithfulness assumption, we can make causal
>interpretation to non-experimental data.
>
>****************************************************************************
>Chong-ho (Alex) Yu, Ph.D., MCSE, CNE, CCNA
>Psychometrician and Data Analyst
>Assessment, Research and Evaulation
>Cisco Systems, Inc.
>Email: [EMAIL PROTECTED]
>URL:http://seamonkey.ed.asu.edu/~alex/
>****************************************************************************
>
>
>
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_________________________________________________________
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
http://roberts.ed.psu.edu/users/droberts/drober~1.htm



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