Respond to each of the items using the following time series data. PeriodDemand11142142312741305114615171308146911910153111521211913123141341512316104 b. Compute all possible forecasts using a five-period moving average. (Round your answers to 1 decimal place.)PeriodDemand5-period SMAAbsolute Errors1114 2142 3127 4130 5114 6151 7130 8146 9119 10153 11152 12119 13123 14134 15123 16104 17 c. Compute the MAD. (Round your answer to 1 decimal place.) d. What is the forecast demand for period 17? (Round your answer to 1 decimal place.) e. What is the error associated with the period 17 forecast? (Round your answer to 1 decimal place.)

b) The five-period moving average forecast corresponding to the specific period can be computed by taking the average of 5 previous periods just preceding the specific period for which the forecast is calculated. For example, the five-period moving average forecast corresponding to period 6 can be computed as: f6=114+142+1276+130+1145 =6275 =125.4 The absolute error for a specific period is defined as the positive difference between the actual demand and the forecasted demand for that period. Now, Period Demand 5-period SMA Absolute Errors 1 114 2 142 3 127 4 130 5 114 6 151 125.4 25.6 7 130 132.8 2.8 8 146 130.4 15.6 9 119 134.2 15.2 10 153 132 21 11 152 139.8 12.2 12 119 140 21 13 123 137.8 14.8 14 134 133.2 0.8 15 123 136.2 13.2 16 104 130.2 26.2 17 120.6 Total 168.4c) Compute the mean absolute deviation using the formula: MAD=∑iAbsolute errorsin MAD=168.411 =15.3091 ≃15.3d) Compute the forecast demand for period 17 by taking the average of demands of periods 12, 13, 14, 15, and 16. f17=119+123+134+123+1045 =6035 =120.6e) For any specific period, the error is defined as the difference between the actual demand of that period and the forecasted demand of that period. For period 17, the forecasted demand is 120.6 but the actual demand is unknown; therefore, the error associated with the period 17 forecast can not be calculated.