Question: 3. The additive decomposition method is used to analyze the time series of Coastal Marine sales as follows. a. Please fill in the values for

3. The additive decomposition method is used to analyze the time series of Coastal Marine sales as follows. a. Please fill in the values for A, B, C and D in the following Minitab output from decomposition. yaht Residualis 29.9 41.7 -59.4 4.6 23 Coastal TCI Trend SCI Seasonality Marine Sales 1929 TEIN (Million S) 2000.1 (Quarter) 232.7 262.21 -29.5 -59.4 2000.2 309.21 A 46.31 4.6 2000.39 310.7263.7 B 31.01 2000.45 293264.4 28.6 2001.18 205.1265.2 -60, D 2001.29 234.4 265.9 -31... 2001.39 285.4266.7 31.01 2001.4 258.7 267.4 -8.7 2002.1 193.21268.2 -75.0 -59.4 2002.2 263.7 269.0 -5.3 4.6 2002.3 292.5269.7 31.0 2002. 4 1 315.2 270.5 44.7 2003. 1 1 178.3271.2 -92.9 2003.2 274.5 272.0 2.5 2003.35 295.4272.7 2003.4 286,41273,5 23 2004. 18 190,81274. 2004.29 263.5 275.0 2004.39 318.8/275.8 31.0 2004.4 305.3276.5 28.8 2005.13 242.6 277.31 -34.7 -59.4 2005.29 318.8 278.01 4.6 2005.39 329.6278. 8 50.8 31.01 2005.4 338.2 279.5 58.7 23.7 23.7 292.1202.8 304.6.267.5|| 279.7294.7 269.3|288.2 205.8 229.8|270.5 254.4 297.7 235.0 291.2 252.6 208.8 259.1|273.6 261.5 300.7 291.5|294.2 237.71211.9 269.91276.6 264.4 303.8 262.7|297.2 250.2 214.9 258.9|279.6 287.8 306.8 281.6|300.3 302.01217.91 314.2 282.61 298.6 309.81 314.5 303. 3 -59.4 .59.4 40.8 3 4.9 b. Based on the table above and the Minitab output below, forecast the sales number for the first quarter of 2006. Time Series Decomposition for Coastal Marine Sales Additive Model Data Sales Length 24 NMissing 0 Fitted Trend Equation Yt=256.67+1.25*+ Seasonal Indices c. Suppose that Coastal Marine are considering making some business by polishing the fishing vessels, how much sales volume would Coastal Marine have to realize from polishing the vessels to make the 1st quarter of 2006 "average of the year? 3. The additive decomposition method is used to analyze the time series of Coastal Marine sales as follows. a. Please fill in the values for A, B, C and D in the following Minitab output from decomposition. yaht Residualis 29.9 41.7 -59.4 4.6 23 Coastal TCI Trend SCI Seasonality Marine Sales 1929 TEIN (Million S) 2000.1 (Quarter) 232.7 262.21 -29.5 -59.4 2000.2 309.21 A 46.31 4.6 2000.39 310.7263.7 B 31.01 2000.45 293264.4 28.6 2001.18 205.1265.2 -60, D 2001.29 234.4 265.9 -31... 2001.39 285.4266.7 31.01 2001.4 258.7 267.4 -8.7 2002.1 193.21268.2 -75.0 -59.4 2002.2 263.7 269.0 -5.3 4.6 2002.3 292.5269.7 31.0 2002. 4 1 315.2 270.5 44.7 2003. 1 1 178.3271.2 -92.9 2003.2 274.5 272.0 2.5 2003.35 295.4272.7 2003.4 286,41273,5 23 2004. 18 190,81274. 2004.29 263.5 275.0 2004.39 318.8/275.8 31.0 2004.4 305.3276.5 28.8 2005.13 242.6 277.31 -34.7 -59.4 2005.29 318.8 278.01 4.6 2005.39 329.6278. 8 50.8 31.01 2005.4 338.2 279.5 58.7 23.7 23.7 292.1202.8 304.6.267.5|| 279.7294.7 269.3|288.2 205.8 229.8|270.5 254.4 297.7 235.0 291.2 252.6 208.8 259.1|273.6 261.5 300.7 291.5|294.2 237.71211.9 269.91276.6 264.4 303.8 262.7|297.2 250.2 214.9 258.9|279.6 287.8 306.8 281.6|300.3 302.01217.91 314.2 282.61 298.6 309.81 314.5 303. 3 -59.4 .59.4 40.8 3 4.9 b. Based on the table above and the Minitab output below, forecast the sales number for the first quarter of 2006. Time Series Decomposition for Coastal Marine Sales Additive Model Data Sales Length 24 NMissing 0 Fitted Trend Equation Yt=256.67+1.25*+ Seasonal Indices c. Suppose that Coastal Marine are considering making some business by polishing the fishing vessels, how much sales volume would Coastal Marine have to realize from polishing the vessels to make the 1st quarter of 2006 "average of the year

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