Linear regression

Linear regression is the simplest supervised learning and regression method to predict a quantitative response. Our most common tool to build these models is least squares. Simple linear regression models are in ${\mathbb{R}}^2$, and look like:

$$f(x)=y=c_0+c_{1}x$$

Multiple linear regression models are multivariable.

$$f(x_1,x_2,\dots ,x_n)=c_0+c_1{t}_1+c_2{t}_2+\cdots +c_n{t}_n$$