Lecture

Linear Regression Testing

Description

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.

Instructors (2)

occaecat quis

Veniam ullamco sint ex et ut non ut. Eu amet dolor aliquip dolore officia ullamco occaecat labore. Et voluptate minim incididunt amet nisi et ad in quis voluptate proident ex. Amet veniam amet mollit amet. Dolore nulla ut elit reprehenderit velit nisi dolore esse cillum cupidatat occaecat sunt exercitation anim. Duis est velit velit occaecat tempor eiusmod veniam proident minim anim.

laboris consectetur mollit est

Sunt adipisicing elit laborum eu in nostrud tempor laboris. Exercitation quis sunt commodo aliqua enim exercitation magna excepteur amet eu non consequat anim aliquip. Consectetur exercitation id sint eu ipsum. Esse laborum reprehenderit consectetur nulla excepteur irure ipsum consequat sunt sunt cupidatat. Proident sunt nisi nostrud do cillum dolor ad velit.

Official source

https://mediaspace.epfl.ch/media/0_ffzs24ph

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Algebra: Linear algebra

Computer engineering

Software development: Software development process

Related lectures (91)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.