How can I visualize linear regression results?

How can I visualize linear regression results?

You can visualize linear regression results using scatter plots with a fitted line. Would you like to see an example?

Yes, please show me an example of a scatter plot with a regression line.

Sure! In Python, you can use libraries like Matplotlib and Seaborn. Here's a simple code snippet:

import matplotlib.pyplot as plt
import seaborn as sns

# Sample data
x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

# Create a scatter plot
sns.scatterplot(x=x, y=y)

# Fit a linear regression line
sns.regplot(x=x, y=y, scatter=False, color='red')

plt.show()

This will create a scatter plot with a red regression line.

What do the coefficients of the regression line represent?

The coefficients represent the relationship between the independent variable and the dependent variable. The slope indicates how much the dependent variable changes for a one-unit change in the independent variable.

Can I visualize multiple regression lines in one plot?

Yes, you can visualize multiple regression lines by plotting different datasets on the same scatter plot. Would you like to know how to do that?