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Date:         Tue, 14 Jul 2009 18:00:36 -0300
Reply-To:     Hector Maletta <hmaletta@fibertel.com.ar>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Hector Maletta <hmaletta@fibertel.com.ar>
Subject:      Re: Regression Qualitatitive Factor
Comments: To: jimjohn <azam.khan@utoronto.ca>
In-Reply-To:  <24486961.post@talk.nabble.com>
Content-Type: text/plain; charset="us-ascii"

Jimjohn, In fact, a binary variable valued at 0 and 1 can be rightly regarded as an interval variable, where the unit of measurement is the distance between the situation at 0 and the situation at 1. As only one interval is involved, and the interval involved equals the unit of measurement, there is no problem of comparing intervals (as in ordinal variables). (If other figures are used instead of 0 and 1, e.g. 1 and 2, nothing changes). However, some purists say that using dummies (binaries) may infringe on some of the assumptions of linear regression. In particular, the error term may not have a normal distribution. Others also say that a binary independent variable itself cannot have a normal distribution, but they are barking at the wrong tree: independent variables need not have a normal distribution for linear regression to be applicable. Whatever the objections, dummies are usually used in regression (chiefly in econometrics) without compunction. You can follow the crowd and do it too, without losing any sleep because of it.

Hector

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of jimjohn Sent: 14 July 2009 17:37 To: SPSSX-L@LISTSERV.UGA.EDU Subject: Regression Qualitatitive Factor

Can someone please tell me if there is anyting special I need to do if im running regression in SPSS where one of my independent variables is binary (it is either 1 or 0). Can I just run the regression as I normally do? Thanks in advance! -- View this message in context: http://www.nabble.com/Regression-Qualitatitive-Factor-tp24486961p24486961.ht ml Sent from the SPSSX Discussion mailing list archive at Nabble.com.

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