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Date:         Fri, 14 Jul 2006 23:42:15 -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 -- predicted values
Comments: To: Statisticsdoc <statisticsdoc@cox.net>
In-Reply-To:  <PMEJJAHAJHJANCGEODHEAEBCCCAA.statisticsdoc@cox.net>
Content-Type: text/plain; charset="us-ascii"

Agree with Stephen. Moreover, even the adjusted predicted values are practically the same as the unadjusted, except in the case of outliers with a disproportionate influence on the estimated coefficients. In many datasets there are no cases with enough influence as to cause the correlation to be less than (nearly) perfect. Hector

-----Mensaje original----- De: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] En nombre de Statisticsdoc Enviado el: Friday, July 14, 2006 11:12 PM Para: SPSSX-L@LISTSERV.UGA.EDU Asunto: Re: regression -- predicted values

Stephen Brand www.statisticsdoc.com

Enis,

The Unstandardized Predicted Value and the Standardized Predicted Value have a perfect correlation because they are simple linear transformations of one another. Illustrattively, the standardized predicted value involves the subtraction of a constant (the mean predicted value) from each predicted value, and division by a constant (the standard deviation of the predicted values).

The adjusted predicted value is somewhat more complicated. This is the predicted value for a case when it is excluded from the computation of the regression coefficients.

HTH,

Stephen Brand

For personalized and professional consultation in statistics and research design, visit www.statisticsdoc.com

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU]On Behalf Of Dogan, Enis Sent: Friday, July 14, 2006 3:52 PM To: SPSSX-L@LISTSERV.UGA.EDU Subject: regression -- predicted values

Dear list

I hope this email finds you all well on this late Friday afternoon. Quick question:

I ran a simple regression and saved Unstandardized Predicted Value; Adjusted Predicted Value; and Standardized Predicted Value

What is the difference between Unstandardized Predicted Value and Adjusted Predicted Value?

I get almost identical values on these variables, correlation = 1.00 almost however they are not necessarily 100% equal.

Any ideas?


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