Check for multicollinearity.
You should have 10-15 participants per variable, so maybe you need to reduce the number of variables.
Also - maybe your model just isn't predicting.
======= Date Modified 18 Jul 2011 13:51:51 =======
yes, ifyou have 50 variables (and you need 10-15 participants/organsiations per variable) then you need 750 participants/organisations.
But even then, have 50 variables in a regression isn't going to result in any decent findings - each variable takes up variance, so by adding in so many, you're going to find very little effect of any single variable.
Most regressions I run have about 5-7 variables in.
if you're not running them all at the same time, then that's ok. but you may still need a higher sample size. OR you're results aren't significant ;-)
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