Interpretting Negative Binomial Regression

[rtan101]

Hi,

I'm running a regression on the factors that influenced how many medals a country won at the 2012 olympics. I originally ran it as OLS but then realised it should have been run using a count method. As the variance is 360 something, and the mean is 11, I was advised not to use Poisson, but instead to use NegBin Regression.

The dependent variable is total medals and the independent variables include GDP per capita, population, team size, 2008 medal total etc. as well as a few dummy variables for the host effect, communist / non-communist etc.

After running the regression, I have no idea how to interpret the results. I know how to see which are significant and what the R-squared value means, but I don't know what the coefficients mean or what the "Shape:C(10)" means...

E.g. for team size, the coeff is 0.007.. and is significant at the 99% level. How should I interpret this?
Also, for the dummy host variable, the coeff is -0.99, sign. at the 95% level. Again how do I interpret this?

I hope someone can help! I'm really struggling!

Thanks a lot