Linear Regression: Causality and Model Interpretation

This lecture covers the linear regression by least squares method, focusing on the hypothetico-deductive approach, causality, and mental models. It discusses the geometric interpretation, variance of coefficients, empirical models, and the development of Taylor polynomials.