Date: Wed, 21 Sep 2005 21:39:56 +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
Content-Type: text/plain; charset="iso-8859-1"
The standardized coefficients would then be what I am looking for. I need a
parameter that adds up to 1.0 which I can directly assign to the independent
variables.
Karl
> --- Ursprüngliche Nachricht ---
> Von: Vishal Dave <VishalDave@Affina.com>
> An: SPSSX-L@LISTSERV.UGA.EDU
> Betreff: Re: Regresssion Plot in SPSS
> Datum: Wed, 21 Sep 2005 13:53:29 -0500
>
> Karl,
>
> Since your variables are not standardized, the coefficients won't add up
> to 1.0. You have to covert the variables in standardized variables and
then
> run the regression model. It will give you model with intercept = 0 and
> sum(coefficients) = 1. This will also take care of having different
> non-standardized variables with different mean and SD.
>
> Vishal.
>
>
>
> -----Original Message-----
> From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of
> Karl Koch
> Sent: Wednesday, September 21, 2005 12:48 PM
> To: SPSSX-L@LISTSERV.UGA.EDU
> Subject: Re: Regresssion Plot in SPSS
>
> 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.
> > >
> >
> > --
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>
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