A typical example of my logistic modeling:
My y dependent variable/binary - customer renewal (yes=renewed, no=not
My X independent variables/continuous -
(1) current pricing structure ($0.25, $0.34,...)
(2) the tenure of the customer (how long the customer has been with us,
i.e., 1 year, 2 year,...)
I want to know 2 things: (1) the existence of the "association" between X
and Y (2) if an association exists, what is the functional form of the
association (linear, quadratic or cubic).
I've been using chi-square test for (1), and plot of log_odd versus X for
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From: Peter Flom [mailto:email@example.com]
Sent: Monday, February 14, 2005 9:47 AM
To: SAS-L@LISTSERV.UGA.EDU; Susie Li
Subject: Re: Influence of the number of categories on chi-square score
Could you tell us what your substantive question is?
What's your dependent variable?
What are your independent variables?
What are you trying to figure out (in layman's terms)?
Do you have a priori hypotheses, and if so, what are they?
Peter L. Flom, PhD
Assistant Director, Statistics and Data Analysis Core
Center for Drug Use and HIV Research
National Development and Research Institutes
71 W. 23rd St
New York, NY 10010
(212) 845-4485 (voice)
(917) 438-0894 (fax)