How can I use Seaborn's pairplot for regression analysis?

How can I use Seaborn's pairplot for regression analysis?

You can use Seaborn's pairplot to visualize relationships between variables and include regression lines. Just set the kind parameter to 'reg'.

Can you show me an example of the code?

Sure! Here's a simple example:

import seaborn as sns
import matplotlib.pyplot as plt

# Load dataset
iris = sns.load_dataset('iris')

# Create pairplot with regression lines
sns.pairplot(iris, kind='reg')
plt.show()

What if I want to customize the regression line?

You can customize the regression line by using the plot_kws parameter in the pairplot function. For example, you can change the color or line style.

Can I add more variables to the pairplot?

Yes, you can include more variables by specifying the vars parameter in the pairplot function to select which variables to plot.