## Goal of the Competition

This contest is an activity of an analytic course in Tecnológico de Monterrey for industrial engineers. The purpose is to forecast six time series (no particular topic) using Minitab and Python. Minitab is a powerful tool to monitor and optimize
industrial processes, how good could be forecasting stationary and non-stationary time series? This contest will be test in that direction.

## Context

Since this is a course activity, the objective is to test the students knowledge in the Box-Jenkins methodology the purpose is to forecast the time series by using the SARIMA model. Furthermore, since the students have an industrial engineering major the forecast will be obtained by using the statistical software Minitab. Newcomers are invited to use their prefered tools.