# regression -- predicted values Classic List Threaded 5 messages Open this post in threaded view
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## 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
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## 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
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## Re: regression -- predicted values

 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