Regression analysis is a statistical method for modeling the relationship between variables to predict outcomes. This guide walks you through the core steps, from data collection to model validation. Learn to interpret key metrics like R-squared, F-statistic, and p-values to assess your model's power and significance. We also explore the deep connection between regression, statistical inference, and machine learning, explaining concepts like reducible and irreducible error.