This chapter will begin with an explanation of the general principles. So, let's ask the fundamental question: what's regression?
Before all considerations, regression is basically a statistical process. As we saw in the introductory section, regression will involve a set of data that has some particular probability distribution. In summary, we have a population of data that we need to characterize.
And what elements are we looking for in particular, in the case of regression? We want to determine the relationship between an independent variable and a dependent variable that optimally adjusts to the provided data. When we find such a function between the described variables, it will be called the regression function.
There are a large number of function types available to help us model our current data, the most common example being the linear, polynomial...