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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