# Regression Plots

Seaborn's regression plots visualize the relationship between two numeric variables with a fitted regression line. `sns.regplot()` plots data points and a linear regression fit with confidence interval. `sns.lmplot()` extends this to support faceting by a categorical variable, enabling comparison across groups.

Visit the following resources to learn more:

- [@official@Visualizing statistical relationships](https://seaborn.pydata.org/tutorial/relational.html)
- [@article@Seaborn Relplot in Python: Visualising Relationships in Data](https://towardsdatascience.com/seaborn-relplot-in-python-visualising-relationships-in-data-ee39138d53aa/)
- [@video@Seaborn scatter plot | How to make and style a scatterplot in Python seaborn](https://www.youtube.com/watch?v=4yz4cMXCkuw)