We are working on trying to find how well glm models fit our set of sports
results. We want to consider the following two models and work out which one
fits the data better:
>summary(Tries.Team.Ha.glm)
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 321.46 on 269 degrees of freedom
Residual deviance: 274.15 on 257 degrees of freedom
AIC: 879.06
Number of Fisher Scoring iterations: 5
and
> summary(Tries.Team.Ha.Distance.glm)
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 321.46 on 269 degrees of freedom
Residual deviance: 272.06 on 256 degrees of freedom
AIC: 878.97
Number of Fisher Scoring iterations: 5
Many thanks.
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