Explore HDL and BMI results
In this exercise, you'll explore simulation results for two variables: bmi and hdl. The simulated results for differences in predicted y values for people in the fourth quantile compared to the first quantile for each predictor (one at a time) have been generated and loaded as df_diffs for you.
The following libraries have been imported: pandas as pd, numpy as np, scipy.stats as st, matplotlib.pyplot as plt, and seaborn as sns. The diabetes dataset, dia, is also loaded.
This exercise is part of the course
Monte Carlo Simulations in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a pairplot of bmi and hdl
sns.____
plt.show()