Comparing linear and Poisson regression
During this exercise, you will fit a linear regression and see how the models produce different results than the Poisson regression you previously fit.
In the previous exercise, you fit a GLM with a Poisson family, poisson_out.
This object has been provided for you.
Now, using glm(), fit a glm() with a normal or Gaussian family.
Den här övningen är en del av kursen
Generalized Linear Models in R
Interaktiv övning med praktiskt arbete
Testa den här övningen genom att slutföra den här exempelkoden.
# Fit a glm with count predicted by time using data.frame dat and gaussian family
lm_out <- ___(___)
___(___)
___(___)