Basic Forecast for Seasonal Data Using Moving Averages (no audio)

Описание к видео Basic Forecast for Seasonal Data Using Moving Averages (no audio)

First the dates are added, followed by the moving averages to smooth the data. Also the seasonal adjusted factors are then already added. Then a model is chosen based first on a high Rsq and then a visual check. The chosen model is then used to predict the moving averages with a 95% confidende interval. Finally the seasonal adjusted factors are added to these predictions for the moving averages.

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