Fit logistic regression

In this exercise, you will continue with the data from the study on the contamination of ground water with arsenic in Bangladesh where you want to model the probability of switching the current well given the level of arsenic present in the well.

Recall the dataset structure:

Dataset wells is preloaded in the workspace.

Cet exercice fait partie du cours

Generalized Linear Models in Python

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Instructions

Import statsmodels and glm.
Using glm() fit a logistic regression model where switch is predicted by arsenic.
Print model summary using .summary().

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Load libraries and functions
import ____.api as sm
from ____.____.api import glm

# Fit logistic regression model
model_GLM = ____(formula = ____,
                data = ____,
                family = ____.____.____).____ 

# Print model summary
print(____.____)

Modifier et exécuter le code