One of the simplest statistical machine learning methods, linear regression is commonly taught to grade school students as an introduction to statistics. Linear regressions is a powerful, simple, and easy to read model assuming that your data should be modeled linearly. The ability to view and interpret individual feature coefficients allows you to look deeper into your data, and various methods like pruning can be used to make the model less complex when dealing with a multitude of variables.
Inputs
Numeric, Categorical
Outputs
Numeric, Categorical