# Linear regression with quadratic equations

Linear regression is the technique by which we mathematically find a “line of best fit” (which is not necessarily a straight line) for a particular set of data. This technique is widely used in science, engineering, business, research, and more; in order to find relationships between different variables and make predictions about their future behaviour. In my previous article “Linear regression with straight lines”, we looked at the mathematics of fitting a straight line to a data set. The limitations of doing this are clear: not every relationship between a set of variables is…