Regression analysis

From Simple English Wikipedia, the free encyclopedia

Regression analysis is a field of statistics. It is a tool to show the relationship between the inputs and the outputs of a system. Regression analysis is often used for prediction of trends. It is also used for studying whether one thing causes another.

The first type of regression analysis was linear regression. The method of least squares was first published by Legendre in 1805[1] and in 1809 by Gauss.[2] Both used the method to predict the movement of planets around the sun. Gauss published an improved method in 1821.

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  1. A.M. Legendre. Nouvelles méthodes pour la détermination des orbites des comètes (1805). “Sur la Méthode des moindres quarrés” is an appendix.
  2. C.F. Gauß. Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientum. (1809)