I am wondering if there is a table or some reference that explains the strength of the beta coefficient.
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possible duplicate of [Meaning of p-values in regression](http://stats.stackexchange.com/questions/14928/meaning-of-p-values-in-regression) – Andy May 04 '14 at 12:54
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That question was about p-values, this one is about beta. I think that makes it different. – Peter Flom May 04 '14 at 14:15
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1Define what you mean by the "beta coefficient". – Scortchi - Reinstate Monica May 04 '14 at 16:07
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It depends of the phenomenon that you are studying. If you can tell me more about your regression, I could try to interpret it.
By the way, you should do a t-test, to check if your beta is statistically different from zero. You could check this link to understand what I'm talking about: http://en.wikipedia.org/wiki/Student%27s_t-test.
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Any book on regression will explain the $\beta$ coefficient.
$\beta$ refers to the standardized coefficient. It is a measure of how much the dependent variable changes when the independent variable changes by 1 standard deviation. (But see comment below about econometrics).
Is it strong? That is context-dependent. If you tell us the context, someone here may be able to answer.

Peter Flom
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OK, good to know. In social sciences they use $\beta$ for standardized and B for not standardized. – Peter Flom May 04 '14 at 14:23