Regression: standardized coefficients & CI

I run 9 WLS regressions in R, with 7 predictors each.

What I want to do now is compare:
(1) The strength of predictors within each model (assuming all predictors
are significant). That is, I want to say whether x1 is stronger than x2,
and also say whether it is **significantly stronger.**

simply comparing standardized beta weights, correct? How do I compare if
one predictor is significantly stronger than the others? I thought about
comparing confidence intervals, but if I understand correctly the
confidence intervals are calculated from the unstandardized beta weights,
which in this case would not help me, correct?
(2) The strength of the same predictor over different models. I want to say
whether x1 affects y1 - y9 equally strong or not. How would I do this?

I hope that I provided all information that is needed.
Thank you
T

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Bert,

Please excuse me, and let me rephrase:

How do I obtain the confidence intervals of the _standardized_ beta weights
for predictors in a linear regression in R?

Thank you.
Torvon


On 21 November 2012 16:10, Bert Gunter <gunter.berton at gene.com> wrote:

1. This is a statistics, not an R, question. Post on a statistics
list, like stats.stackexchange.com

Also...

On Wed, Nov 21, 2012 at 12:39 PM, Torvon <torvon at gmail.com> wrote:

I run 9 WLS regressions in R, with 7 predictors each.

What I want to do now is compare:
(1) The strength of predictors within each model (assuming all
predictors
are significant). That is, I want to say whether x1 is stronger than x2,
and also say whether it is **significantly stronger.**

-- I have no idea what this means, though perhaps it is defined
somewhere and in some way that I am not familiar with. When you post
to a stats list, I suggest you provide a reference so the folks there
know what you mean by this.

-- Bert

 I compare strength by

simply comparing standardized beta weights, correct? How do I compare if
one predictor is significantly stronger than the others? I thought about
comparing confidence intervals, but if I understand correctly the
confidence intervals are calculated from the unstandardized beta
weights,
which in this case would not help me, correct?
(2) The strength of the same predictor over different models. I want to
say
whether x1 affects y1 - y9 equally strong or not. How would I do this?

I hope that I provided all information that is needed.
Thank you
T

        [[alternative HTML version deleted]]

--

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:

http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm