Difference between revisions of "Regression analysis"

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Investopedia defines '''regression analysis''' as "A statistical measure that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables).[http://www.investopedia.com/terms/r/regression.asp]  Regression is a method in [[statistics]] for fitting a [[curve]] through a set of points as closely as possible.
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Investopedia defines '''regression analysis''' as "A statistical measure that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables).<ref>[http://www.investopedia.com/terms/r/regression.asp Regression]</ref> Regression is a method in [[statistics]] for fitting a [[curve]] through a set of points as closely as possible.
  
 
The most common type of regression is [[linear regression]], which uses a straight line as the curve.
 
The most common type of regression is [[linear regression]], which uses a straight line as the curve.

Revision as of 23:03, April 30, 2024

Investopedia defines regression analysis as "A statistical measure that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables).[1] Regression is a method in statistics for fitting a curve through a set of points as closely as possible.

The most common type of regression is linear regression, which uses a straight line as the curve.

Regression is done using a least squares estimator.

External links

A Refresher on Regression Analysis, Harvard Business Review, 2015
  1. Regression