Regression Modeling

Overview

Regression modeling predicts continuous target values based on input features, establishing quantitative relationships between variables for forecasting and analysis.

When to Use

• Predicting sales, prices, or other continuous numerical outcomes
• Understanding relationships between independent and dependent variables
• Forecasting trends based on historical data
• Quantifying the impact of features on a target variable
• Building baseline models for comparison with more complex algorithms
• Identifying which variables most influence predictions

Regression Types

• Linear Regression: Straight-line fit to data
• Polynomial Regression: Non-linear relationships