The details of the earphones sales for the past 6 weeks are shown in the table below. The time series appears to be relatively stable, without trend, seasonal, or cyclical effects. You have been told to use 2 period weighted moving average estimation technique to help in forecasting the needs for next week. (k =2 with weights 0.7, 0.3) Week Units sold 88 1 2 44 3 54 4 65 5 72 6 85 For the given data, 1. what is the forecast for week 7 ? 2. 3. For the given data, with 2 period weighted moving average estimation technique (k =2 with weights 0.7, 0.3), what would be forecasted value for week 3? For the given data, with 2 period weighted moving average estimation technique (k =2 with weights 0.7, 0.3), what is the absolute percentage Indicate correct A B D answer A/B/C/D A. 85 B. 69.9 C. D. 81.1 78.50 A. 44 B. 54 C. D. 66 57.2 A. 12 B. 3.2 C. 22.22 D. 5.93 error for week 3? For the given data A. B. using with 2 period 9.05 135.09 C. 11.62 D. 207.13 weighted moving average estimation 4. technique (k=2 with weights 0.7, 0.3), what is the value of the mean square error? With the estimation A. technique used, for the 3.20 5. given data, the mean absolute deviation is: B. 9.05 C. D. 10.65 42.60