Get startedGet started for free

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.

This exercise is part of the course

Generalized Linear Models in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Fit a glm with count predicted by time using data.frame dat and gaussian family
lm_out <- ___(___)

___(___)
___(___)
Edit and Run Code