Figure 5.33 gives the JMP output obtained when k-nearest neighbors is applied to the Fresh detergent demand data. a-1. F

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answerhappygod
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Figure 5.33 gives the JMP output obtained when k-nearest neighbors is applied to the Fresh detergent demand data. a-1. F

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Figure 5 33 Gives The Jmp Output Obtained When K Nearest Neighbors Is Applied To The Fresh Detergent Demand Data A 1 F 1
Figure 5 33 Gives The Jmp Output Obtained When K Nearest Neighbors Is Applied To The Fresh Detergent Demand Data A 1 F 1 (60.93 KiB) Viewed 11 times
Figure 5.33 gives the JMP output obtained when k-nearest neighbors is applied to the Fresh detergent demand data. a-1. Find the 6 nearest neighbors to sales period 1 (observation 1). The 6 nearest neighbors as shown in Figure 5.33 (rows:) a-2. Find the predicted demand for sales period 1. The predicted demand for sales period 1 is

b. Find and report the predicted demands for future sales periods 31 and 32. Sales period 31 Sales period 32 Predicted Demand

FIGURE 5.33 The 6 Nearest Neighbors to Observation 1, RMSE Values, and Predictions in the k-Nearest Neighbors Fresh Detergent Demand Exercise 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 8: 20 21 22 23 24 25 26 27 28 29 30 31 32 RowNear 1 4 RowNear 4 RowNear 5 8 29 PriceDif -0.05 0.25 0.60 0.00 0.25 0.20 0.15 0.05 -0.15 0.15 0.20 0.10 0.40 0.45 0.35 0.30 0.50 0.50 0.40 -0.05 -0.05 -0.10 0.20 0.10 0.50 RowNear 2 RowNear 3 28 9 0.60 -0.05 0.00 0.05 0.55 0.30 0.10 AdvExp 5.50 6.75 7.25 5.50 7.00 6.50 6.75 5.25 5.25 6.00 6.50 6.25 7.00 6.90 6.80 6.80 7.10 7.00 6.80 6.50 6.25 6.00 6.50 7.00 6.80 6.80 6.50 5.75 5.80 6.80 6.90 6.40 RowNear 6 22 Demand 7.38 8.51 9.52 7.50 9.33 8.28 8.75 7.87 7.10 8.00 7.89 8.15 9.10 8.86 8.90 8.87 9.26 9.00 8.75 7.95 7.65 7.27 8.00 8.50 8.75 9.21 8.27 7.67 7.93 9.26 K 1 2 3 4 5 6 7 8 Count 30 30 30 30 30 30 RMSE 0.29283 0.31029 0.29055 0.31371 0.30562 0.27685 30 0.28662 30 0.30393 Predicted Demand 6 7.5566666667 8.67 9.0566666667 7.5366666667 8.7716666667 8.3616666667 8.4183333333 7.5966666667 7.6033333333 7.9866666667 8.4266666667 7.9616666667 8.94 8.96 8.9033333333 8.89 9.0816666667 8.9966666667 8.9133333333 8.0983333333 7.8733333333 7.8083333333 8.4083333333 8.605 9.0566666667 9.1083333333 8.045 7.6216666667 7.6616666667 8.9716666667 SSE 2.5724 2.88835 2.53259 2.95246 2.80211 2.29938* 2.46448 2.77111 Predicted Formula Demand 6 7.575 8.7733333333 9.185 7.575 8.91 8.2633333333 8.3216666667 7.575 7.575 7.9866666667 8.2633333333 7.995 8.9783333333 8.9533333333 8.8316666667 8.91 9.0816666667 9.0383333333 8.8716666667 8.0066666667 7.87 7.6416666667 8.2633333333 8.7066666667 8.9716666667 9.0566666667 8.0066666667 7.625 7.625 9.0566666667 8.91 8.17
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