Visualizing linear and logistic models

As with linear regressions, regplot() will draw model predictions for a logistic regression without you having to worry about the modeling code yourself. To see how the predictions differ for linear and logistic regressions, try drawing both trend lines side by side. Spoiler: you should see a linear (straight line) trend from the linear model, and a logistic (S-shaped) trend from the logistic model.

churn is available.

This exercise is part of the course

Introduction to Regression with statsmodels in Python

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Draw a linear regression trend line and a scatter plot of time_since_first_purchase vs. has_churned
sns.regplot(____,
            line_kws={"color": "red"})

plt.show()