Fitting a Poisson regression
Continuing with the crab
dataset you will fit your first Poisson regression model in this exercise.
The crab
dataset has been preloaded in the workspace.
This is a part of the course
“Generalized Linear Models in Python”
Exercise instructions
- Import
statsmodels.api
library assm
. - Import
glm
fromstatsmodels.formula.api
. - Using
Poisson()
for the response distribution fit the Poisson regression withsat
as the response andweight
for the explanatory variable. - Display the model results using
.summary()
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import libraries
import ____.____ as sm
from ____.formula.api import ____
# Fit Poisson regression of sat by weight
model = ____('____ ~ ____', data = ____, family = ____.____.____).____
# Display model results
____(model.____)