Exercise

Logistic regression with logit()

Logistic regression requires another function from statsmodels.formula.api: logit(). It takes the same arguments as ols(): a formula and data argument. You then use .fit() to fit the model to the data.

Here, you'll model how the length of relationship with a customer affects churn.

churn is available.

Instructions

100 XP

Import the logit() function from statsmodels.formula.api.
Fit a logistic regression of has_churned versus time_since_first_purchase using the churn dataset. Assign to mdl_churn_vs_relationship.
Print the parameters of the fitted model.