Developed Minimalist OLS Regression Plot in Python

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📅 2025-03-10 — Session: Developed Minimalist OLS Regression Plot in Python

🕒 12:45–13:10
🏷️ Labels: Python, Data Visualization, Regression, Numpy, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to develop a minimalist version of Seaborn’s regplot for Ordinary Least Squares (OLS) regression using Python libraries like NumPy and Matplotlib.

Key Activities:

  • Implemented a simplified regplot clone focusing on OLS regression using NumPy.
  • Created a scatter plot of x vs y and fitted a linear regression line.
  • Enhanced the script with a regress_out() function to remove linear dependencies, improving interpretability.
  • Discussed the statistical technique of regressing variable B from A while maintaining A’s mean, providing insights into partial regression and residualization.

Achievements:

  • Successfully developed a minimalist OLS regression plot using NumPy and Matplotlib.
  • Improved understanding of regression techniques and their statistical implications.

Pending Tasks:

  • Further exploration of regression techniques and potential integration with additional statistical methods.

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