https://communities.sas.com/t5/SAS-Studio/logistic-regression-equation/m-p/457008#M5327 <P>Hello,</P><P>&nbsp;</P><P>I fit a regression model that included categorical predictors. For one of the predictors, Race, the levels were white black and other. I made other my reference level. Now if I want to calculate the outcome variable with an individual who is categorized as 'other' what value do I plug into&nbsp;the equation? Do i plug in 0 for both race = black and race = white?&nbsp;</P><P>&nbsp;</P><P>This is the general equation</P><P>&nbsp;</P><P>STA= α+β1(age)+β2(Gender) +β3(Race=Black) +β4(Race=White) +β5(Sys)</P><P>&nbsp;</P><P>&nbsp;</P><P>Thanks for any help!</P> Tue, 24 Apr 2018 18:30:03 GMT iressa131 2018-04-24T18:30:03Z https://communities.sas.com/t5/SAS-Studio/logistic-regression-equation/m-p/457008#M5327 <P>Hello,</P><P>&nbsp;</P><P>I fit a regression model that included categorical predictors. For one of the predictors, Race, the levels were white black and other. I made other my reference level. Now if I want to calculate the outcome variable with an individual who is categorized as 'other' what value do I plug into&nbsp;the equation? Do i plug in 0 for both race = black and race = white?&nbsp;</P><P>&nbsp;</P><P>This is the general equation</P><P>&nbsp;</P><P>STA= α+β1(age)+β2(Gender) +β3(Race=Black) +β4(Race=White) +β5(Sys)</P><P>&nbsp;</P><P>&nbsp;</P><P>Thanks for any help!</P> Tue, 24 Apr 2018 18:30:03 GMT https://communities.sas.com/t5/SAS-Studio/logistic-regression-equation/m-p/457008#M5327 iressa131 2018-04-24T18:30:03Z https://communities.sas.com/t5/SAS-Studio/logistic-regression-equation/m-p/457039#M5328 <P>Other would mean B3=0 and B4=0 so you only have the B1, B2 &amp; B5 + intercept terms.</P> <P>&nbsp;</P> <P>You may find the ODDSRATIO statement helpful, because you can specify the levels of interest easily.</P> Tue, 24 Apr 2018 20:06:39 GMT https://communities.sas.com/t5/SAS-Studio/logistic-regression-equation/m-p/457039#M5328 Reeza 2018-04-24T20:06:39Z