Module 2: Foundations of Regression (OLS)

Module 2: Foundations of Regression (OLS)

STATA playlist

Open the full YouTube playlist

Ordinary least squares (OLS) is the starting point for most applied analysis because it provides a simple way to estimate linear relationships between an outcome and one or more predictors. In this course, OLS matters both as a method in its own right and as the baseline model students must understand before learning why binary-outcome models require a different framework.

This module focuses on coefficient interpretation, the idea of a fitted line, and the logic of estimating expected changes in the dependent variable while holding other variables constant.

Learning goals

  • Interpret coefficients clearly.
  • Understand what OLS is estimating.
  • Recognize why OLS is the foundation for later modules.

Core STATA command

regress y x1 x2 x3

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