This is the second of three chapters that aim to show how we can apply the knowledge introduced in previous chapters to formulate three widely used algorithms in the Data Science field. This chapter applies the least-squares technique for formulating a simple linear algorithm. This algorithm aims to find a linear relationship between variables that will enable us to estimate the new value of one variable, called the dependent variable, given new values for one or more independent variables.