We can use a regression plot or regplot to plot data and a linear regression model fit. For example, let’s say we are reading the tips dataset. The dataset contains various information, such as total bill, tip amount, etc. Let’s say we want to see the relationship between the total bill and the tip amount. For that purpose, we can plot a regression plot.

We can use the following Python code to plot a regression plot between the total bill and the tip amount.

import seaborn
from matplotlib import pyplot

df = seaborn.load_dataset("tips")
seaborn.regplot(data=df, x="total_bill", y="tip")
pyplot.savefig("seaborn-regplot.png")
pyplot.close()

The resulting regression plot will look like the following: