```========================================================================= Date: Mon, 17 Jul 2006 03:03:55 +0000 Reply-To: Jeff Aquino Sender: "SPSSX(r) Discussion" From: Jeff Aquino Subject: UNSUBSCRIBE Comments: To: hmaletta@fibertel.com.ar In-Reply-To: <000e01c6a7b8\$4840dfb0\$f000a8c0@NOTEBOOK> Content-Type: text/plain; format=flowed jeff >From: Hector Maletta >Reply-To: Hector Maletta >To: SPSSX-L@LISTSERV.UGA.EDU >Subject: Re: regression -- predicted values >Date: Fri, 14 Jul 2006 23:42:15 -0300 > >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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