Assume you are responsible for forecasting how many employees you will need to service customer demand in a retail store for each day of a given week of the year, and that you have access to all the trained people you might need due to a large pool of part-timers. A. What data about the previous demand and productivity would you use? For what period? B. What types of unusual events would you consider in modifying that historical data? How would you make such a modification in the input to the forecast? C. What percentage weighting would you give to the most recent week’s data, and why? D. When Monday comes in 10% under the forecast, and Tuesday is 10% over the forecast, would you change the staffing for the rest of the week? Why? If so, what changes would you make? Why?