topic Assessment of Interactions in Regression in Discussions https://community.jmp.com/t5/Discussions/Assessment-of-Interactions-in-Regression/m-p/3555#M3555 <HTML><HEAD></HEAD><BODY><P>You need to use the Fit Model command available under the Analyze menu.&nbsp; This will allow you to have multiple X variables in your model.</P><P></P><P>The dialog window for Fit Model will allow you to specify the model structure.&nbsp; Common model structures can be generated using the Macro button.&nbsp; The model type you are describing includes all main terms and two-factor interactions and can be generated using the "factorial to degree" option.</P><P></P><P>These are the steps:</P><P></P><P>1. Analyze&gt; Fit Model</P><P>2. Select the response column(s) and click the Y button</P><P>3. Select the column names of the explanatory variables, click the Macro button and select "factorial to degree"</P><P>4. Click the Run button</P><P></P><P>Hope this helps</P><P></P><P>Dave</P></BODY></HTML> Thu, 14 Jul 2011 01:22:23 GMT David_Burnham 2011-07-14T01:22:23Z Assessment of Interactions in Regression https://community.jmp.com/t5/Discussions/Assessment-of-Interactions-in-Regression/m-p/3554#M3554 <HTML><HEAD></HEAD><BODY><P>Hi everybody !</P><P></P><P>I'm working on multiple linear regression again. I have to deal with many variables about 10 qualitatives and 20 quantitatives. I would like to know the basis in order to assess the interaction between all these variables. I tried to do something: For each variables -&gt; I performed a simple linear regression with one of my 30 explanatory variable and my response variable and then under JMP i did a "group by". With this manipulation I thought that i would be able to see visually a positive or negative effect of the interaction. But now that I have performed over 30 simple linear regressions, I think that this process doesn't work that way. I think it only works when people want to test a model with only 2 variables in order to know if they have to add the interaction term in the model.</P><P></P><P>My final goal is to build a model of regression with my response variable (Y) and my explanatory variables (Xi) [all my 30 variables PLUS all the "effective interactions" that I would have found out among my simple regressions].</P><P></P><P>I hope that somebody will rescue me ! I thank you very much for reading...and I'm sorry for my english again...</P></BODY></HTML> Wed, 13 Jul 2011 19:14:01 GMT https://community.jmp.com/t5/Discussions/Assessment-of-Interactions-in-Regression/m-p/3554#M3554 2011-07-13T19:14:01Z Assessment of Interactions in Regression https://community.jmp.com/t5/Discussions/Assessment-of-Interactions-in-Regression/m-p/3555#M3555 <HTML><HEAD></HEAD><BODY><P>You need to use the Fit Model command available under the Analyze menu.&nbsp; This will allow you to have multiple X variables in your model.</P><P></P><P>The dialog window for Fit Model will allow you to specify the model structure.&nbsp; Common model structures can be generated using the Macro button.&nbsp; The model type you are describing includes all main terms and two-factor interactions and can be generated using the "factorial to degree" option.</P><P></P><P>These are the steps:</P><P></P><P>1. Analyze&gt; Fit Model</P><P>2. Select the response column(s) and click the Y button</P><P>3. Select the column names of the explanatory variables, click the Macro button and select "factorial to degree"</P><P>4. Click the Run button</P><P></P><P>Hope this helps</P><P></P><P>Dave</P></BODY></HTML> Thu, 14 Jul 2011 01:22:23 GMT https://community.jmp.com/t5/Discussions/Assessment-of-Interactions-in-Regression/m-p/3555#M3555 David_Burnham 2011-07-14T01:22:23Z