Polynomial Regression: Difference between revisions

Revision as of 18:32, 15 April 2024

Polynomial regression is a model that describes the relationship between x and y as an n^th degree polynomial.

$f(x)=\omega _{0}+\omega _{1}x+\omega _{2}x^{2}+...+\epsilon$

It is a form of Linear Regression. To build a polynomial model involves determining the degree of polynomial and using linear regression methods.

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-'''Polynomial regression''' describes the relationship between ''x'' and ''y'' as an n<sup>th</sup> degree polynomial.
+'''Polynomial regression''' is a model that describes the relationship between ''x'' and ''y'' as an n<sup>th</sup> degree polynomial.
+<math>f(x) = \omega_0 + \omega_1 x + \omega_2 x^2 + ... + \epsilon</math>
+It is a ''form'' of [[Linear Regression]]. To build a polynomial model involves determining the degree of polynomial and using linear regression methods.