📘 Title & Purpose

This tool helps you understand how OLS estimation works by allowing you to experiment with different line parameters and observe their effect on residuals.

🎯 Goal of this Tool

Visualize how changing intercept and slope impacts fit and residuals.

🧪 How It Works

Choose how many data points to generate from a linear model with random errors. Use sliders to guess the best-fitting line and compare it to the true OLS line.

🛠️ Controls

• "Generate New Data" creates new random data.
• Use sliders to set intercept and slope of your line.
• Check box to show true regression line.

🧠 What to Observe

Observe how residual lines change with your adjustments, and how residuals distribute.

🌟 Challenge

Can you find the combination of intercept and slope that minimizes SSR?