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”

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Exercise instructions

Import statsmodels.api library as sm.
Import glm from statsmodels.formula.api.
Using Poisson() for the response distribution fit the Poisson regression with satas the response and weight 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.____)

Edit and Run Code