Polynomial Regression: Difference between revisions

Revision as of 18:34, 15 April 2024

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

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

Notice that polynomial regression is a form of Linear Regression, except there are higher-degree attributes.

To build a polynomial model involves determining the degree of polynomial and using normal linear regression methods.

@@ Line 3: / Line 3: @@
 <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.
+Notice that polynomial regression is a ''form'' of [[Linear Regression]], except there are higher-degree attributes.
+To build a polynomial model involves determining the degree of polynomial and using normal linear regression methods.