This question is similar to the first example from the labs, so make sure you've done and understood that one first. The researcher was investigating the effect of fire on the abundance of a rare lizard species. She identified different areas within a reserve that had been last burned at different times, and randomly chose four sites within each area. She then used pit traps to survey for the lizard abundance, recording the number of lizards caught within each site. The data is in the file 'timesincefiredata_assignment.xlsx'. Which of the following are reasons why a Poisson family glm is more appropriate for this data than a standard linear model with normal (Gaussian) errors, or a glm with binomial errors, or Poisson errors, or Gamma errors? The dependent variable is count data yesno The dependent variable is continuous data yesno The explanatory variable is count data yesno The explanatory variable is continuous data yesno There is an upper limit of the dependent variable yesno There is an upper limit of the explanatory variable