LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (December 2001)Back to main SPSSX-L pageJoin or leave SPSSX-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Thu, 6 Dec 2001 20:54:25 -0300
Reply-To:     hmaletta@fibertel.com.ar
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Hector Maletta <hmaletta@FIBERTEL.COM.AR>
Subject:      Re: log-linear regression?
Comments: To: Seumas Rogan <seumasr@MARTYNIA.HRP.ARIZONA.EDU>
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.

Hector Maletta 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! > > SR > > seumasr@hrp.arizona.edu


Back to: Top of message | Previous page | Main SPSSX-L page