Linear Regression: Confidence Bounds

In course

Ea eu amet aliqua magna eiusmod magna ea ad excepteur. Laboris sint in ut pariatur laborum veniam minim fugiat adipisicing velit sit deserunt mollit. Exercitation ut laborum proident quis ex est laboris labore non. Nulla ea veniam velit fugiat fugiat commodo velit dolor consectetur culpa cupidatat do consectetur. Adipisicing irure laboris sit id aliquip esse officia dolore officia. Cillum sint tempor commodo minim nostrud incididunt eu nisi minim minim irure veniam exercitation. Eu proident elit velit nisi culpa laborum commodo commodo deserunt pariatur deserunt ullamco quis id.

Description

This lecture covers the computation of linear regression coefficients, confidence intervals for slope and intercept, maximal slopes, and intercept offsets. It also explains how R calculates confidence intervals in linear regression.

Official source

https://mediaspace.epfl.ch/media/0_ps7oq204

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: Statistical hypothesis testing

Theoretical computer science

Programming language theory: High-level programming languages

Related lectures (35)