Regression IIDelves into regression analysis, emphasizing distributional checks, weighted least squares, and hypothesis testing.
Linear Regression ModelExplores the linear regression model, OLS properties, hypothesis testing, interpretation, transformations, and practical considerations.
Linear Regression BasicsIntroduces the basics of linear regression, covering OLS approach, residuals, hat matrix, and Gauss-Markov assumptions.
Regression: Linear ModelsExplores linear regression, least squares, residuals, and confidence intervals in regression models.