Question: 23. Refer to Problem 22. Using your final fitted regression function, forecast Taste (quality) for . (All three independent variable values may not be required.)
23. Refer to Problem 22. Using your final fitted regression function, forecast Taste (quality) for . (All three independent variable values may not be required.) Although n in this case is small, construct the TABLE P-21 Assets ($ billions) X Number of accounts (1,000s) Y 219.0 2,500 21.1 909 38.8 615 5.5 205 160.0 2,300 19.5 428 11.2 590 5.9 134 1.3 130 6.8 125 TABLE P-22 Case Taste Y Acetic X1 H2S X2 Lactic X3 1 40.9 6.365 9.588 1.74 2 15.9 4.787 3.912 1.16 3 6.4 5.412 4.700 1.49 4 18.0 5.247 6.174 1.63 5 38.9 5.438 9.064 1.99 6 14.0 4.564 4.949 1.15 7 15.2 5.298 5.220 1.33 8 32.0 5.455 9.242 1.44 9 56.7 5.855 10.199 2.01 10 16.8 5.366 3.664 1.31 11 11.6 6.043 3.219 1.46 12 26.5 6.458 6.962 1.72 13 0.7 5.328 3.912 1.25 14 13.4 5.802 6.685 1.08 15 5.5 6.176 4.787 1.25 TABLE P-24 Accounting Categories for Major League Baseball ($ millions) GtReceit MediaRev StadRev TotRev PlayerCt OpExpens OpIncome FranValu Franchise 19.4 61.0 7.4 90.0 29.8 59.6 30.4 200 NyYank 26.6 32.5 18.0 79.3 36.0 72.0 7.3 180 LADodge 22.9 50.0 16.0 91.1 35.2 70.4 20.7 170 NYMets 44.5 30.0 12.0 88.7 29.7 62.4 26.3 160 TorBlJay 24.5 40.5 14.3 81.5 35.4 70.8 10.7 160 BosRdSox 19.0 24.4 5.0 50.6 15.8 39.5 11.1 140 BaltOrio 27.5 25.7 19.3 78.0 18.0 60.0 18.0 140 ChWhSox 19.9 25.0 12.0 59.1 23.2 46.4 12.7 132 StLCard 22.8 27.5 12.0 64.5 29.0 58.0 6.5 132 ChCubs 19.0 25.5 14.0 61.5 20.7 47.6 13.9 123 TxRanger 16.9 20.5 14.0 53.6 30.4 60.8 7.2 117 KCRoyals 15.2 23.2 7.6 48.2 21.7 43.4 4.8 115 PhilPhil 25.7 27.0 10.0 64.9 39.2 66.6 1.7 115 OakAthlt 19.0 27.9 5.0 54.1 34.3 61.7 7.6 103 CalAngls 15.5 26.2 5.0 48.9 33.3 53.3 4.4 99 SFGiants 17.1 24.4 5.3 49.0 27.1 48.8 0.2 98 CinnReds 15.6 23.1 7.5 48.4 24.4 48.8 0.4 96 SDPadres 10.6 25.2 8.0 46.0 12.1 31.5 14.5 95 HousAstr 16.2 21.9 5.5 45.8 24.9 49.8 87 PittPirt 15.6 28.8 5.0 51.6 31.1 54.4 2.8 85 DetTiger 15.4 18.9 3.8 40.3 20.4 40.8 0.5 83 AtBraves 18.2 20.5 3.2 44.1 24.1 48.2 4.1 83 MinnTwin 15.5 22.0 5.0 44.7 17.4 41.8 2.9 79 SeatMar 14.2 19.4 3.0 38.8 26.4 50.2 11.4 77 MilBrews 9.5 23.7 6.6 42.0 19.5 46.8 4.8 77 ClevIndn 10.7 23.5 3.0 39.4 21.8 43.6 4.2 75 MonExpos large-sample approximate 95% prediction interval for your forecast. Do you feel your regression analysis has yielded a useful tool for forecasting cheese quality? Explain.
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