Scatter plots with regression (regplot) in Data Analysis Python

Introduction

Scatter plots with regression help us see how two things relate. The regression line shows the trend or pattern between them.

To check if height and weight are related in a group of people.

To see how study time affects test scores for students.

To explore if temperature changes affect ice cream sales.

To find patterns between advertising budget and sales revenue.

Syntax

Data Analysis Python

import seaborn as sns
sns.regplot(x='x_column', y='y_column', data=dataframe)
import matplotlib.pyplot as plt
plt.show()

regplot draws points and a line showing the trend.

You need seaborn and matplotlib libraries installed.

Examples

Shows how income changes with age using points and a trend line.

Data Analysis Python

sns.regplot(x='age', y='income', data=df)
plt.show()

Customizes point color to red and regression line color to blue.

Data Analysis Python

sns.regplot(x='hours_studied', y='test_score', data=df, scatter_kws={'color':'red'}, line_kws={'color':'blue'})
plt.show()

Plots without the confidence interval shading around the regression line.

Data Analysis Python

sns.regplot(x='temperature', y='ice_cream_sales', data=df, ci=None)
plt.show()

Sample Program

This code creates a small table of study hours and test scores. Then it draws a scatter plot with a line showing the trend between hours studied and test scores.

Data Analysis Python

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# Create sample data
data = {'hours_studied': [1, 2, 3, 4, 5, 6, 7, 8],
        'test_score': [50, 55, 65, 70, 75, 80, 85, 90]}
df = pd.DataFrame(data)

# Plot scatter with regression line
sns.regplot(x='hours_studied', y='test_score', data=df)
plt.title('Test Score vs Hours Studied')
plt.xlabel('Hours Studied')
plt.ylabel('Test Score')
plt.show()

Important Notes

The regression line helps predict y from x but does not prove cause and effect.

You can customize colors and remove confidence intervals for clearer visuals.

Make sure your data has numeric values for both x and y.

Summary

Scatter plots with regression show points and a trend line together.

They help us understand relationships between two numeric variables.

Seaborn's regplot is an easy way to create these plots in Python.