Linear regression is an approach for finding an optimal set of parameter values $$P$$ to tune a parametric model $$\mathbb{M}_P$$ given a data set containing associated scalar dependent values $$y$$ and scalar independent values $$x$$ or independent vector values $$\vec{x}$$.