Re: [R] Regression inclusion of variable, effect on coefficients

2008-04-23 Thread Michael Dewey
also reasonable. > >Could you suggest me a simple interaction model, with which I could try my >luck? > >Thanks a lot > >Thiemo > >-Original Message- >From: Uwe Ligges [mailto:[EMAIL PROTECTED] >Sent: Montag, 21. April 2008 18:54 >To: Thiemo Fetzer >

Re: [R] Regression inclusion of variable, effect on coefficients

2008-04-21 Thread Thiemo Fetzer
the model? Thanks a lot for your help in advance, Thiemo -Original Message- From: Uwe Ligges [mailto:[EMAIL PROTECTED] Sent: Montag, 21. April 2008 18:54 To: Thiemo Fetzer Cc: r-help@r-project.org Subject: Re: [R] Regression inclusion of variable, effect on coefficients This is not a

Re: [R] Regression inclusion of variable, effect on coefficients

2008-04-21 Thread Thiemo Fetzer
reasonable. Could you suggest me a simple interaction model, with which I could try my luck? Thanks a lot Thiemo -Original Message- From: Uwe Ligges [mailto:[EMAIL PROTECTED] Sent: Montag, 21. April 2008 18:54 To: Thiemo Fetzer Cc: r-help@r-project.org Subject: Re: [R] Regression in

Re: [R] Regression inclusion of variable, effect on coefficients

2008-04-21 Thread Uwe Ligges
This is not a dump question. This is a serious problem and it depends on what you know or assume about the relastionship between x1 and x4. If you assume linear interaction, you might want to introduce some interaction term to the model for example. Uwe Ligges Thiemo Fetzer wrote: > Hello dea

[R] Regression inclusion of variable, effect on coefficients

2008-04-21 Thread Thiemo Fetzer
Hello dear R users! I know this question is not strictly R-help, yet, maybe some of the guru's in statistics can help me out. I have a sample of data all from the same "population". Say my regression equation is now this: m1 <- lm(y ~ x1 + x2 + x3) I also regress on m2 <- lm(y ~ x