Posted by
Hector Maletta on
Jul 15, 2006; 3:42am
URL: http://spssx-discussion.165.s1.nabble.com/regression-predicted-values-tp1069695p1069697.html
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:
[hidden email]] En nombre de
Statisticsdoc
Enviado el: Friday, July 14, 2006 11:12 PM
Para:
[hidden email]
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:
[hidden email]]On Behalf Of
Dogan, Enis
Sent: Friday, July 14, 2006 3:52 PM
To:
[hidden email]
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?
Enis