Date: Thu, 6 Dec 2001 20:54:25 -0300
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: Hector Maletta <hmaletta@FIBERTEL.COM.AR>
Subject: Re: log-linear regression?
Content-Type: text/plain; charset=us-ascii
Log-linear models are used to analyze contingency tables, i.e. the
relationship between categorical variables. The phrase "log linear
regression" is ambiguous. Of course, if you take the logs of all your
(interval-level) variables you may have a linear regression on the log
variables, and you may call that "log linear regression", but that would
even more ambiguous, I'm afraid.
Universidad del Salvador
Buenos Aires, Argentina
Seumas Rogan wrote:
> Hi everyone,
> I am new to statistics. I think I understand the following:
> Multiple Linear Regression:
> Continuous Normal Dependent, Continuous & Discrete Independents
> Logistic Regression:
> Dichotomous Dependent, Continuous & Discrete Independents
> Where, or when would you use Log-linear regression? What is it?
> Thanks for any help!