create a time series model with level linear trend and seasonal compon
Create a time series model (with level, linear trend, and seasonal components) for purposes of forecasting daily demand at Penguin for April 9-27, including a margin of uncertainty for each day’s forecast. Note, assume that forecast errors are normally distributed.
• Deseasonalization (Deseas)
• Seasonal (Seas) Factor
• Absolute Error
• Mean Absolute Deviation (MAD)
• Margin of Uncertainty
• Upper and Lower Forecasts per day
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