- The Accompanying Data Provide The Winning Distances For Three Separate Competitions In A Long Running International Spor 1 (34.53 KiB) Viewed 43 times
The accompanying data provide the winning distances for three separate competitions in a long-running international sporting event. Develop forecasting models for each of the events. Click the icon to view the winning distance data. C Develop a forecasting model for Event A. Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. It is appropriate to include all of the data, and there is a clear linear trend, but seasonality is not present, so a double exponential smoothing model may be the best option. For a=0.9 and B=0.3, the double exponential smoothing model forecast for the next event is F++ 1 = in. OB. It is appropriate to include all of the data, seasonality is present, and there is a clear trend, so a Holt-Winters model may be the best option. For a=0.9, p=0.3, and y=0.6, the Holt-Winters additive seasonality model forecast for the next event is F₁+1 = in., and the Holt-Winters multiplicative seasonality model forecast for the next event is Ft + 1 = in. O C. It is not appropriate to include all the data, so a moving average model may be the best option. The two-period moving average forecast for the next event is in., the three-period moving average forecast for the next event is in., and the four-period moving average forecast for the next event is in.
1 2 3 4 5 6 7 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 A Year 1896 1900 B Event Ali Event B (i Event C (in.) 71.342 1147.7 74.821 1418.6 249.53 282.35 1904 71.012 1546.5 288.89 1908 74.989 1609.7 294.2 1912 76.203 1779.7 299.77 1920 75.893 1759.1 282.17 1924 77.756 1816.7 292.78 1928 76.547 1863.3 304.87 1932 77.515 1936 80.009 1948 77.799 1952 80.606 1956 83.656 1960 85.173 2330.5 319.03 1964 85.497 2401.3 317.49 1968 87.938 2550.4 350.1 1972 87.989 2534.9 324.07 1976 88.642 2656.9 328.39 1980 92.842 2624.5 336.17 1984 92.336 2621.8 337.03 1988 93.821 2708.9 343.79 1992 91.896 2563.2 335.22 1996 94.285 2732.5 334.92 2000 92.559 2728.6 336.87 2004 93.254 1947.4 300.22 1987.2 316.56 2077.5 308.09 2166.6 297.76 2218 308.3 2752.1 337.5 2008 92.723 2709.1 328.48 2012 93.931 2687.2 327.44 2016 94.154 2691.7 329.26