Regression models predict outcomes like housing prices ... in the model -- being put together to get a single answer. Polynomial regression is a common application and helps tell a better story ...

Note that the quadratic term, YearSq, is created in the DATA step; this is done since polynomial effects such as Year*Year cannot be specified in the MODEL statement in PROC REG. The data are as ...

proc glm; model loss=fe fe*fe; run; The CLASS statement is omitted because a regression line is being fitted. Unlike PROC REG, PROC GLM allows polynomial terms in the MODEL statement. The preliminary ...

Recall that machine learning is a class of methods for automatically creating models ... polynomial. There are two major categories of problems that are often solved by machine learning ...

Topics include simple and multiple regression; linear models with categorical explanatory variables; model diagnostics; inference for linear models; polynomial regression; models for time dependence; ...