Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concept of least squares in linear regression, focusing on testing in the linear regression setting. Topics include non-central chi-squared distribution, orthogonal matrices, idempotent matrices, hypothesis testing, and diagnostics for linear regression models. The lecture also delves into outliers, influential observations, and the assumptions underlying Gaussian linear regression models.