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What can't correlation measure?

While the correlation coefficient is a convenient way to quantify the strength of a relationship between two variables, it's far from perfect. In this exercise, you'll explore one of the caveats of the correlation coefficient by examining the relationship between a country's GDP per capita (gdp_per_cap) and happiness score.

pandas as pd, matplotlib.pyplot as plt, and seaborn as sns are imported, and world_happiness is loaded.

This exercise is part of the course

Introduction to Statistics in Python

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Hands-on interactive exercise

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

# Scatterplot of gdp_per_cap and life_exp
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# Show plot
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Edit and Run Code