**=========================================================================
****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
**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?