Date: Wed, 21 Sep 2005 12:35:19 -0500
Reply-To: "Swank, Paul R" <Paul.R.Swank@uth.tmc.edu>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: "Swank, Paul R" <Paul.R.Swank@uth.tmc.edu>
Subject: Re: Regresssion Plot in SPSS
Content-Type: text/plain; charset="iso-8859-1"
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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