Lecture
This lecture covers the fundamental concepts of linear regression, starting with the creation of X-bands to visualize data distribution. It explains the steps in regression analysis, including parameter estimation and model evaluation. The lecture also delves into mean square error, the method of least squares, and properties of the estimator for the slope. Additionally, it discusses tests and confidence intervals for the slope in the context of linear regression models.