Linear Regression prediction of total goals. Steps and model walkthrough guide.

Linear Regression is one of the most used algorithms for predicting a continous variable, whether it be stock/house prices, how much weekly spend you do in a supermarket or even the amount of goals scored. A linear model can be used for predictive analysis in a supervised manner, that is that we feed in the columns into the model as known values. In this article I will detail the Linear Regression, the steps and techniques used to validate such an approach before applying it to a football data set for demonstration…