Re: Interpreting the coefficient in a GLS binomial model

Thanks a lot. Yes, this is what I have been looking for.

I have another question, though. I show by other means that the votes typically are highly positively correlation (c=0.6 on average).

The basic model has good fit:
R-sq.(adj)=0.854, Deviance explained=36.7%
BUT massive overdispersion
Residual deviance: 4267.0 on 106 degrees of freedom

The overdispersion cannot be remedied by regressing on LOG(index), and using the quasibinomial family with a scale parameter for the variance. The estimated Dispersion parameter for quasibinomial family is also very large 39.52906.

QUESTION: Can overdispersion be due to correlation between the votes? And, what can be done?

Thanks again,
Serguei
.