Re: st: Fwd: How to interpret regression?

["JVerkuilen (Gmail)" <jvverkuilen@gmail.com>]

On Tue, Sep 25, 2012 at 8:05 AM, Kresten Buch <krestensb@gmail.com> wrote:
>
> Dear Statalist,

<snippety doo dah>

> If I include all variables in the model, I get significant effects
> from both sets of interaction variables. If only one set is included,
> then I nothing is significant, no matter witch one is excluded.
>
> I hope the explanation makes sense ?


This is a very complicated model. All the interactions are likely to
create collinearity issues and make individual regression coefficients
unlikely to be statistically significant. How much does the R^2 change
when you add variables as a block? If it's a lot you can use -test- to
determine if the addition of the interactions is jointly significant,
even if it's hard to tell which one is from the individual
coefficients.

I think that, at least for interpretational issues you should create
some simpler versions as benchmarks to evaluate the interactions
against.

I would also recommend centering all continuous predictor variables
and creating interactions from them. That's statistically equivalent
but should help break up the collinearity effect on the individual
regression weights.
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