If we use a simple exponential smoothing method with ??=0.3, ??11=100 and ??12=120, what is your forecast for next year? A. 120 B. 126 C. 128 D. None of the above 10. Which one is NOT part of the reasons to keep inventory? A. To allow flexibility in production scheduling B. To meet variation in product demand C. To maintain dependence of operations D. To provide a safeguard for variation in raw material delivery time

Two independent methods of forecasting based on judgment and experience have been prepared each month for the past 10 months. The forecasts and actual sales are as follows:

4. What is the difference between trend and seasonality in time series data? 5. Here are the errors associated with a particular forecast over the past 5 months, in chronological order: 5, 10, -15, 0, 8. In which month was the forecast perfectly accurate? In which month was the forecast the least accurate? In which month or months was the forecast too high? (Noteshaper Ramp Up # 23) 6. Tutoring Center needs to allocate tutors this week for office appointments, so it needs to forecast the number of students who will seek appointments. The director has gathered the following time series data recently: Time Period Code Student Appointments Jan 6 - 10 95 Jan 13 - 17 80 Jan 20 - 24 65 Jan 27 – 31 4 50 a) What is the naïve forecast for the number of student appointments for Time Period 5 (Feb 3– 7)? b) What is the 2 week moving average for Time Period 5? c) What is the 3 week moving average for Time Period 5? d) What is the forecast for Time Period 5 using exponential smoothing with alpha =…

Exponential Smoothing, Exponentially Smoothed MAD, and Tracking SignalThe XYZ Company was flooded by a thunderstorm and lost part of its forecasting data.Positions in the table that are marked [a], [b], [c], [d], [e], and [ f ] must be recalculated from the remaining data.