Simple Linear Regression in Python | Assumptions, Interpretation & Diagnostics Explained

Published: 03 July 2025
on channel: Shakeel Ahmed

In this video, we walk through Simple Linear Regression using Python with real-life data. You’ll learn how to fit a regression model, interpret the results, and thoroughly check model assumptions like linearity, homoscedasticity, normality of residuals, and independence. Ideal for beginners and intermediate users in health and social sciences data analysis.

📌 What you'll learn:

How to perform simple linear regression in Python

Understanding coefficients, R-squared, and p-values

Checking assumptions (residual plots, QQ plots, etc.)

Step-by-step interpretation of output

Common pitfalls and how to address violations

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