Overdispersion means that conditional variance exceeds the Poisson mean. Under a correctly specified Poisson model, the Pearson statistic is approximately chi-squared with residual degrees of freedom. Hereso a one-sided five-percent test rejects. The displayed model-based confidence interval is too narrow. A quasi-Poisson fit can multiply standard errors by ; negative binomial regression or a random-effects count model can model the extra variation directly.
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