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Retail-Forecasting-Project

Objective: To forecast a real time series using ETS and ARIMA models.

Data: Each student will be use a different time series, selected using their student ID number.

set.seed(12345678) myseries <- aus_retail |> filter(!(Series ID %in% c("A3349561R","A3349883F","A3349499L","A3349902A", "A3349588R","A3349763L","A3349372C","A3349450X", "A3349679W","A3349378T","A3349767W","A3349451A"))) |> filter(Series ID == sample(Series ID,1))

Report:

Should produce forecasts of the series using ETS and ARIMA models. Write a report in Rmarkdown format of the analysis explaining carefully what have done and why have done it.

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