Difference between revisions of "Regression analysis"
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| − | ''' | + | Investopedia defines '''regression analysis''' as "A [[Statistics|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. | ||
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Regression is done using a least squares estimator. | Regression is done using a least squares estimator. | ||
| − | [[Category: | + | == External links == |
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| + | [https://hbr.org/2015/11/a-refresher-on-regression-analysis A Refresher on Regression Analysis], Harvard Business Review, 2015 | ||
| + | ==References== | ||
| + | <references/> | ||
| + | [[Category:Statistics]] | ||
Latest revision as of 23:04, 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
