The given below Figure 17.21 shows the JMP output of using double exponential smoothing in month 20 to forecast watch sales in months 21 through 26. FIGURE 17.21 JMP Holt-Winters' Double Exponential Smoothing for Watch Sales Model: Linear (Holt) Exponential Smoothig Forecast 1000 900 800 700 Predicted Value 600 500 400 300 200 MAPE 5.26176254 MAE 19.7678132 0 4 8 12 16 20 24 28 32 36 TimeParameter Estimates Term Estimate Std Error t Ratio Prob>It Level Smoothing Weight 0.59803067 0.2209785 2.71 0.0156* Trend Smoothing Weight 0.00003850 0.0018441 0.02 0.9836 Predicted Upper CL (0.95) Lower CL (0.95) Sales Sales Sales 21 488.02969357 535.15803188 440.90135526 22 497.62013958 552.53361793 442.70666122 23 507.21058558 568.93546804 445.48570313 24 516.80103159 584.6574484 448.94461478 25 526.3914776 599.8699552 452.913 26 535.98192361 614.68224904 457.28159818 Click here for the Excel Data File Using the above output find and report the point prediction of and a 95 percent prediction interval for watch sales in month 21. (Round your answers to 4 decimal places.) Point prediction for month 21 474.9160 , 95% P.I. =