Linear Regression: Estimation and Testing

This lecture covers the fundamentals of linear regression, focusing on the estimation of parameters using the least squares method. It also delves into hypothesis testing, specifically the chi-square test for independence between variables. Practical examples and applications in statistics are provided, including imputation of missing data and model evaluation. The instructor, Erwan Koch from EPFL, emphasizes the importance of understanding the relationship between variables and the significance of regression analysis in data interpretation.