Article | REF: AF167 V1

Descriptive statistics - Data processing

Author: Nathalie CHEZE

Publication date: October 10, 2002, Review date: November 19, 2019

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Français

5. Regression and linear fitting

5.1 Introduction: regression and least squares

As we mentioned earlier, regression curves do not allow us to extrapolate from observed data. And yet, one of the missions of statistics is precisely prediction. We therefore need to introduce tools to explain the behavior of one variable in relation to another. In general, we can only obtain an explanation of the average behavior: this is known as regression.

The idea is as follows: to try to explain Y by means of X, we'll look for a "reasonable" function f such that for all i :

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Mathematics

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Regression and linear fitting
Outline