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Date:         Wed, 21 Sep 2005 19:47:33 +0200
Reply-To:     Karl Koch <TheRanger@gmx.net>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Karl Koch <TheRanger@gmx.net>
Subject:      Re: Regresssion Plot in SPSS
Comments: To: "Swank, Paul R" <Paul.R.Swank@uth.tmc.edu>
Content-Type: text/plain; charset="iso-8859-1"

So, what you are saying is I have to create first a new regression model that only includes A and C. Then only use the unstandarized regression coefficients. Did I understand you correctly?

What is the difference to the standarized coefficients? Do the standarized coefficients somehow add up to 1.0 so that they can be seen as percentage of magnitiude?

Kind Regards, Karl

> --- Ursprüngliche Nachricht --- > Von: "Swank, Paul R" <Paul.R.Swank@uth.tmc.edu> > An: SPSSX-L@LISTSERV.UGA.EDU > Betreff: Re: Regresssion Plot in SPSS > Datum: Wed, 21 Sep 2005 12:35:19 -0500 > > No, you are using the unstandardized intercept but the standardized > regression coefficients. And because B may bias the weights for A and C, you need > to run the regression again without B. The coefficients for Aand C will > likely change. Then use the unstandardized coefficients for the regression > equation. > > > Paul R. Swank, Ph.D. > Professor, Developmental Pediatrics > Director of Research, Center for Improving the Readiness of Children for > Learning and Education (C.I.R.C.L.E.) > Medical School > UT Health Science Center at Houston > > -----Original Message----- > From: Karl Koch [mailto:TheRanger@gmx.net] > Sent: Wednesday, September 21, 2005 10:36 AM > To: Swank, Paul R; Mailinglist SPSS > Subject: RE: Regresssion Plot in SPSS > > Hello Paul, > > Yes, I agree. Given the fact that now I only have two paramters left > (=being significant), is this the correct equation (keeping in mind the table > below)? > > Y = 4.195 - 0.319 * A - 0.442 * C + e > > What would be e in this case? I have standard erros for each parameter... > > Kind Regards, > Karl > > ---------------------------------------------------------------- > Model Unstd. Coeff. Std. Coeff. t Sig. > B Std. Error Beta > ----------------------------------------------------------------- > 1(Constant) 4.195 .070 58.971 .000 > A -.779 .042 -.319 -18.278 .000 > B -.028 .046 -.010 -.618 .534 > C -1.635 .064 -.442 -25.354 .000 > ----------------------------------------------------------------- > > > > > > Drop B from the model first as it could bias the parameters for A and C. > > > > -- > 5 GB Mailbox, 50 FreeSMS http://www.gmx.net/de/go/promail > +++ GMX - die erste Adresse für Mail, Message, More +++ >

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