This document can be used as an introductory, interactive case study about Time Series Analysis based on decomposition, multiple regression and exponential smoothing (including the Holt-Winters model). Section 2 describes the problem and section 3 introduces theoretical concepts that are of importance in applied analysis. Section 4 treats the problem of decomposing a time series into its underlying components (trend, seasonality, and a random component) from an experimental (“try, see, and reflect") perspective. In section 5 emphasis is on “ad hoc" Forecasting of the time series under investigation, based on regression (section 5.1) and exponential smoothing techniques (section 5.2). At the same time this document is an illustrated tutorial about Wessa.net and FreeStatistics.org. It illustrates how Reproducible Research can be integrated in Statistics Education based on a Compendium that contains all references to archived information that makes the underlying research reproducible and reusable.