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
>
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
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
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
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
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