Difference between revisions of "Linear regression"
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(New page: A linear regression is a regression that is linear with respect to the unknown parameters used in the fit. "Least squares fitting" is the most common type of linear regression.) |
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| − | A linear regression is a [[regression]] that is linear with respect to the unknown | + | A '''linear regression''' is a [[regression]] that is linear with respect to the unknown [[parameter]]s used in the fit. A linear regression can illustrate many relationships between variables (e.g., quadratic) however, in the case of exponentional or log-linear relationships a linear regression is not an appropriate statistical test. |
"Least squares fitting" is the most common type of linear regression. | "Least squares fitting" is the most common type of linear regression. | ||
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| + | [[Category:Linear Algebra]] | ||
Latest revision as of 14:35, July 28, 2016
A linear regression is a regression that is linear with respect to the unknown parameters used in the fit. A linear regression can illustrate many relationships between variables (e.g., quadratic) however, in the case of exponentional or log-linear relationships a linear regression is not an appropriate statistical test.
"Least squares fitting" is the most common type of linear regression.