A B C D E F G H K L M N Dill Cluster Analysis Segmentation Map for 3 Segments 1.20 My map 1.00 Segment 3, 21% a N C O 0.80 A A 0.60 Segment 1, 26% D R Segment 2, 53% O 0.40 0.20 20 -2.00 2.00 4.00 6.00 8.00 10.00 12.00 Number of Full-Time Coaches 23 24 25 Presidents Ranking Cluster Analysis 26 27 Segmentation Map for 3 Segments 28 29 12.00 30 # 31 10.00 Segment 2, 8Segment 3, 8% 32 RegressionDataPlot Regression Output ANOVAdataOutput ChiSquare ClusterAnalysis Equation ReadyPresidents Ranking Cluster Analysis OUT Segmentation Map for 3 Segments 12.00 # 10.00 Segment 2, 8 Segment 3, 8% w 8.00 6.00 4.00 0 6 00 h Segment 1, 85% 2.00 - w -1.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 President's Ranking 16 00 W N RegressionDataPlot Regression Output ANOVAdataOutput ChiSquare ClusterAnalysis Equation ReadyN A B C D E F G H J K L M Month Spend Sales Sales (Y) Intercept Slope Spend (X) Equation Result Difference From Actual 1000 9914 Sales=1383.47138+10.62219546*Spend 9914 = 1383.4714 + 10.62219546 1000 12005.67 2091.67 -WN 4000 40487 Sales=1383.47138+10.62219546*Spend 40487 = 1383.4714 + 10.62219546 4000 43872.25 3385.25 5000 54324 Sales=1383.47138+10.62219546*Spend 54324 = 1383.4714 + 10.62219546 5000 54494.45 170.45 4500 50044 Sales=1383.47138+10.62219546*Spend 50044 = 1383.4714 + 10.62219546 4500 49183.35 -860.65 o VOU AWN 3000 34719 Sales=1383.47138+10.62219546*Spend 34719 = 1383.4714 + 10.62219546 3000 33250.06 -1468.94 4000 42551 Sales=1383.47138+10.62219546*Spend 42551 = 1383.4714 + 10.62219546 4000 43872.25 1321.25 9000 94871 Sales=1383.47138+10.62219546*Spend 94871 = 1383.4714 + 10.62219546 9000 96983.23 2112.23 8 11000 118914 Sales=1383.47138+10.62219546*Spend 118914 = 1383.4714 + 10.62219546 11000 118227.62 -686.38 10 9 15000 158484 Sales=1383.47138+10.62219546*Spend 158484 = 1383.4714 + 10.62219546 15000 160716.40 2232.40 11 10 12000 131348 Sales=1383.47138+10.62219546*Spend 131348 = 1383.4714 + 10.62219546 12000 128849.82 -2498.18 12 11 7000 78504 Sales=1383.47138+10.62219546*Spend 78504 = 1383.4714 + 10.62219546 7000 75738.84 -2765.16 13 12 3000 36284 Sales=1383.47138+10.62219546*Spend 36284 = 1383.4714 + 10.62219546 * 3000 33250.06 -3033.94 14 AVERAGE 6541.667 Difference SUM 0.00 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 RegressionDataPlot Regression Output ANOVAdataOutput ChiSquare ClusterAnalysis Equation +