Exercise

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, poissonOut. This object has been provided for you. Now, using glm(), fit a glm() with a normal or Gaussian family.

Instructions 1/2

XP

1
2

Fit a GLM with a gaussian family where count is predicted by time using data.frame dat.
Print the summary for lmOut model first and the poissonOut model second and notice the different p-values.

Take Hint (-15 XP)