I am trying to model a count data and it is suggested that it is better using Poisson regression rather than linear model. I am puzzled that when I compare the coefficient's significance between linear and poisson regression, the significance is higher in linear. Does it mean that linear regression is better than poisson regression?
Or it is matter of dispersion of the data? Since the requirement for poisson is that it should be equidispersed (mean=variance).
How can I check the dispersion of data using the output of the model? and any suggestion to improve the logistic model?
I am really new in logistic regression and any help will be much appreciated