How can I perform regression analysis using Python?

How can I perform regression analysis using Python?

You can use libraries like statsmodels or scikit-learn to perform regression analysis in Python. Would you like a code example?

Yes, please provide a simple linear regression example.

Sure! Here's a basic example using scikit-learn:

import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression

# Sample data
X = np.array([[1], [2], [3], [4], [5]])  # Independent variable
Y = np.array([1, 2, 3, 4, 5])  # Dependent variable

# Create a model and fit it
model = LinearRegression()
model.fit(X, Y)

# Make predictions
predictions = model.predict(X)

# Plotting
plt.scatter(X, Y, color='blue')
plt.plot(X, predictions, color='red')
plt.show()

What if I want to perform multiple regression?

For multiple regression, you can still use scikit-learn. Just ensure your independent variables are in a 2D array. Here's an example:

import numpy as np
from sklearn.linear_model import LinearRegression

# Sample data
X = np.array([[1, 2], [2, 3], [3, 4], [4, 5], [5, 6]])  # Multiple independent variables
Y = np.array([1, 2, 3, 4, 5])  # Dependent variable

# Create a model and fit it
model = LinearRegression()
model.fit(X, Y)