Difference between revisions of "Regression analysis"
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Regression is done using a least squares estimator. | Regression is done using a least squares estimator. | ||
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| + | [https://hbr.org/2015/11/a-refresher-on-regression-analysis A Refresher on Regression Analysis], Harvard Business Review, 2015 | ||
[[Category:Statistics]] | [[Category:Statistics]] | ||
Revision as of 02:49, February 8, 2023
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