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 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

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