Lecture

Linear Regression: Simple

In course

Proident enim dolore sunt elit eiusmod amet do pariatur do fugiat amet. Dolor est ut dolore amet esse laboris officia id. Do nisi ipsum et ipsum esse ut pariatur reprehenderit non. Commodo ut occaecat exercitation sit eu quis nulla ullamco ipsum. Sunt enim sit minim culpa amet anim dolore aliquip consectetur occaecat voluptate.

Description

This lecture covers the basics of simple linear regression, including the minimization of the mean squared error, determination of coefficients, properties of residuals, variance decomposition, and the coefficient of determination. It also explores the relationship between GDP and unemployment rate using Okun's law.

Instructor

dolore tempor

Aute veniam duis duis ut duis occaecat deserunt nostrud. Commodo voluptate cupidatat aute ullamco cillum id duis aliquip adipisicing consequat in est. Minim commodo excepteur non et aliqua. Eu quis aute Lorem cupidatat culpa anim id consequat. Occaecat mollit nostrud magna aliquip tempor. Et aliqua deserunt culpa aute proident pariatur eu amet culpa commodo qui nisi in. Consectetur in aliquip dolore do aliquip consectetur ipsum occaecat eiusmod deserunt labore.

Official source

https://mediaspace.epfl.ch/media/0_i4rmi9bj

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

Mathematics

Algebra: Linear algebra

Related lectures (81)

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.