Question

What is the calculated value of the yearly average seasonalized forecasted demand for 2023 in cell I50 of worksheet: SI and Regression? This is the monthly average for the seasonalized forecast:

A. Use regression analysis to calculate the seasonalized forecast.
B. Analyze the trend and seasonality in the demand data.
C. Evaluate the accuracy of the forecast for 2023.
D. Discuss the factors influencing the forecasted demand.

Answer 1

To calculate the yearly average seasonalized forecasted demand for 2023, analyze the trend and seasonality in the demand data and use regression analysis to estimate the monthly forecasts. Sum up the monthly forecasts to calculate the yearly average demand.

Step-by-step explanation:

To calculate the yearly average seasonalized forecasted demand for 2023 in cell I50 of worksheet SI and Regression, you would need to follow option B, which is to analyze the trend and seasonality in the demand data. This involves examining historical data and identifying patterns in the demand that repeat over certain time periods.

Once you have identified the seasonal patterns, you can use regression analysis to estimate the seasonalized forecast for each month of 2023. Finally, you can calculate the yearly average demand by summing up the monthly forecasts and dividing by 12.