Linear regression is much more flexible than its name might suggest, including polynomials, ANOVA and other commonly used statistical methods. References Box, G. J. Am. Stat. Assoc. 71 , 791–799 ...

The equation for multiple linear regression extended to two explanatory variables (x 1 and x 2) is as follows: This can be extended to more than two explanatory variables. However, in practice it is ...

Polynomial regression is also called the special case of multiple linear regression because polynomial regression is a linear model with some adjustments in order to increase the accuracy. The ...

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Add polynomial terms: Include higher-order terms (squared, cubed, etc.) of the predicted values to the regression equation. Re-estimate the model : Fit the augmented model with the additional ...