Final answer:
To calculate the yearly average seasonalized forecasted demand for 2023 in cell i50 of worksheet: si and regression, you need to gather historical demand data, calculate seasonal indexes, apply the indexes to forecasted demand, and sum up the forecasted demand for the year.
Step-by-step explanation:
The calculated value of the yearly average seasonalized forecasted demand for 2023 in cell i50 of worksheet: si and regression can only be determined if the specific formula or method used for the seasonalized forecast is provided. Without further information, it is not possible to provide an exact calculation.
However, in general, to calculate the yearly average seasonalized forecasted demand, you would typically follow these steps:
- Gather the historical demand data for the relevant time period (e.g., previous years).
- Calculate the seasonal index for each period (e.g., monthly or quarterly) by dividing the actual demand for that period by the average demand for all periods.
- Apply the seasonal index to the forecasted demand for each period in the upcoming year.
- Sum up the forecasted demand for all periods in the upcoming year to obtain the yearly average seasonalized forecasted demand.
- Enter the result into cell i50 of worksheet: si and regression.