![]() If we have more than one independent variable, we can create a combined variable to use. We consider the model to be a specific case of multiple linear regression. ![]() ![]() However, as a statistical problem, the polynomial equation is linear in terms of the parameters we estimate from the data set. The goal is to fit a non-linear model to the relationship between dependent and independent variables. We use an N-th degree polynomial to model the relationship between the dependent variable y and the predictor x. What is the polynomial regression model?Ī polynomial model is a form of regression analysis. The model played an essential role in the development of regression analysis through the 20 th century. The first publication on the polynomial regression originated in the early 19 th century. ![]() We can use the model whenever we notice a non-linear relationship between the dependent and independent variables. The polynomial regression is a statistical technique to fit a non-linear equation to a data set by employing polynomial functions of the independent variable. Regression analysis aims to model the expected values for a dependent variable ( y) based on independent variables ( x).
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