<p>DATA HAW (TYPE=DISTANCE); INPUT sports sc hybrid lux truck wd4 conv suv; CARDS; .000 .892 .990 .981 .986 .995 .993 .963 .892 .000 .970 .856 .925 .957 .983 .890 .990 .970 .000 .967 .993 .997 .995 .951 .981 .856 .967 .000 .970 .947 .978 .949 .986 .925 .993 .970 .000 .967 .969 .980 .995 .957 .997 .947 .967 .000 .979 .981 .993 .983 .995 .978 .969 .979 .000 .979 .963 .890 .951 .949 .980 .981 .979 .000 PROC CLUSTER DATA=HAW OUTTREE=OUTXX METHOD=average; VAR sports--suv; PROC TREE DATA=OUTXX; Run; The SAS System 1</p><p>The CLUSTER Procedure Average Linkage Cluster Analysis</p><p>Root- Mean- Square Distance Between Observations = 0.964278</p><p>Cluster History Norm T RMS i NCL - - Clusters Joined- - - FREQ Dist e</p><p>7 OB2 OB4 2 0.8877 6 CL7 OB8 3 0.9541 5 OB1 CL6 4 0.9812 4 CL5 OB5 5 1.0013 3 CL4 OB6 6 1.0055 2 CL3 OB3 7 1.0144 1 CL2 OB7 8 1.0187</p><p>1. 25</p><p>1. 00</p><p>0. 75</p><p>0. 50</p><p>0. 25</p><p>0. 00 OB1 OB2 OB4 OB8 OB5 OB6 OB3 OB7</p><p>Name of Obser vat i on or Cl ust er PROC CLUSTER DATA=HAW OUTTREE=OUTXX METHOD=single; </p><p>The SAS System 2</p><p>The CLUSTER Procedure Single Linkage Cluster Analysis</p><p>Mean Distance Between Observations = 0.963679</p><p>Cluster History Norm T Min i NCL - - Clusters Joined- - - FREQ Dist e</p><p>7 OB2 OB4 2 0.8883 6 CL7 OB8 3 0.9235 5 OB1 CL6 4 0.9256 4 CL5 OB5 5 0.9599 3 CL4 OB6 6 0.9827 2 CL3 OB3 7 0.9868 1 CL2 OB7 8 1.0055</p><p>1. 25</p><p>1. 00</p><p>0. 75</p><p>0. 50</p><p>0. 25</p><p>0. 00 OB1 OB2 OB4 OB8 OB5 OB6 OB3 OB7</p><p>Name of Obser vat i on or Cl ust er PROC CLUSTER DATA=HAW OUTTREE=OUTXX METHOD=complete; </p><p>The SAS System 3</p><p>The CLUSTER Procedure Complete Linkage Cluster Analysis</p><p>Mean Distance Between Observations = 0.963679</p><p>Cluster History Norm T Max i NCL - - Clusters Joined- - - FREQ Dist e</p><p>7 OB2 OB4 2 0.8883 6 CL7 OB8 3 0.9848 5 OB5 OB6 2 1.0034 4 CL6 OB3 4 1.0066 3 CL5 OB7 3 1.0159 2 OB1 CL4 5 1.0273 1 CL2 CL3 8 1.0346</p><p>1. 25</p><p>1. 00</p><p>0. 75</p><p>0. 50</p><p>0. 25</p><p>0. 00 OB1 OB2 OB4 OB8 OB3 OB5 OB6 OB7</p><p>Name of Obser vat i on or Cl ust er PROC CLUSTER DATA=HAW OUTTREE=OUTXX METHOD=ward; </p><p>The SAS System 4</p><p>The CLUSTER Procedure Ward's Minimum Variance Cluster Analysis</p><p>Root- Mean- Square Distance Between Observations = 0.964278</p><p>Cluster History T i NCL - - Clusters Joined- - - FREQ SPRSQ RSQ e</p><p>7 OB2 OB4 2 0.1126 .887 6 CL7 OB8 3 0.1358 .752 5 OB5 OB6 2 0.1437 .608 4 OB1 CL6 4 0.1442 .464 3 CL5 OB7 3 0.1465 .317 2 CL4 OB3 5 0.1526 .165 1 CL2 CL3 8 0.1647 .000</p><p>0. 20</p><p>S e m i - 0. 15 P a r t i a l 0. 10</p><p>R - S q u 0. 05 a r e d</p><p>0. 00 OB1 OB2 OB4 OB8 OB3 OB5 OB6 OB7</p><p>Name of Obser vat i on or Cl ust er DATA HAW ; 5 INPUT sports sc hybrid lux truck wd4 conv suv; CARDS; .000 .892 .990 .981 .986 .995 .993 .963 .892 .000 .970 .856 .925 .957 .983 .890 .990 .970 .000 .967 .993 .997 .995 .951 .981 .856 .967 .000 .970 .947 .978 .949 .986 .925 .993 .970 .000 .967 .969 .980 .995 .957 .997 .947 .967 .000 .979 .981 .993 .983 .995 .978 .969 .979 .000 .979 .963 .890 .951 .949 .980 .981 .979 .000 PROC FASTCLUS DATA=HAW MAXCLUSTERS=5; VAR sports--suv; Run;</p><p>The FASTCLUS Procedure Replace=FULL Radius=0 Maxclusters=5 Maxiter=1</p><p>Initial Seeds</p><p>Cluster sports sc hybrid lux ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1 0.0000000000 0.8920000000 0.9900000000 0.9810000000 2 0.9930000000 0.9830000000 0.9950000000 0.9780000000 3 0.9900000000 0.9700000000 0.0000000000 0.9670000000 4 0.9810000000 0.8560000000 0.9670000000 0.0000000000 5 0.9860000000 0.9250000000 0.9930000000 0.9700000000</p><p>Initial Seeds</p><p>Cluster truck wd4 conv suv ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1 0.9860000000 0.9950000000 0.9930000000 0.9630000000 2 0.9690000000 0.9790000000 0.0000000000 0.9790000000 3 0.9930000000 0.9970000000 0.9950000000 0.9510000000 4 0.9700000000 0.9470000000 0.9780000000 0.9490000000 5 0.0000000000 0.9670000000 0.9690000000 0.9800000000</p><p>Criterion Based on Final Seeds = 0.2024</p><p>Cluster Summary</p><p>Maximum Distance RMS Std from Seed Radius Nearest Distance Between Cluster Frequency Deviation to Observation Exceeded Cluster Cluster Centroids ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1 1 . 0 4 1.0921 2 1 . 0 4 1.1322 3 1 . 0 4 1.1165 4 4 0.3305 0.8629 1 1.0921 5 1 . 0 4 1.0962 Statistics for Variables 6</p><p>Variable Total STD Within STD R-Square RSQ/(1- RSQ) ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ sports 0.34512 0.04575 0.992469 131.791400 sc 0.32987 0.45245 0.193731 0.240281 hybrid 0.34702 0.01909 0.998704 770.427019 lux 0.33817 0.46071 0.204527 0.257113 truck 0.34355 0.02431 0.997854 464.994078 wd4 0.34505 0.48104 0.167028 0.200521 conv 0.34739 0.00222 0.999983 57271.406780 suv 0.33936 0.47151 0.172649 0.208677 OVER-ALL 0.34199 0.33048 0.599778 1.498616</p><p>The FASTCLUS Procedure Replace=FULL Radius=0 Maxclusters=5 Maxiter=1</p><p>Pseudo F Statistic = 1.12</p><p>Approximate Expected Over- All R-Squared = .</p><p>Cubic Clustering Criterion = .</p><p>WARNING: The two values above are invalid for correlated variables.</p><p>Cluster Means</p><p>Cluster sports sc hybrid lux ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1 0.0000000000 0.8920000000 0.9900000000 0.9810000000 2 0.9930000000 0.9830000000 0.9950000000 0.9780000000 3 0.9900000000 0.9700000000 0.0000000000 0.9670000000 4 0.9577500000 0.6757500000 0.9712500000 0.6880000000 5 0.9860000000 0.9250000000 0.9930000000 0.9700000000</p><p>Cluster Means</p><p>Cluster truck wd4 conv suv ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1 0.9860000000 0.9950000000 0.9930000000 0.9630000000 2 0.9690000000 0.9790000000 0.0000000000 0.9790000000 3 0.9930000000 0.9970000000 0.9950000000 0.9510000000 4 0.9605000000 0.7212500000 0.9797500000 0.7050000000 5 0.0000000000 0.9670000000 0.9690000000 0.9800000000 Cluster Standard Deviations 7</p><p>Cluster sports sc hybrid lux ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1 . . . . 2 . . . . 3 . . . . 4 0.0457484062 0.4524499051 0.0190853347 0.4607132152 5 . . . .</p><p>Cluster Standard Deviations</p><p>Cluster truck wd4 conv suv ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1 . . . . 2 . . . . 3 . . . . 4 0.0243104916 0.4810449563 0.0022173558 0.4715089253 5 . . . .</p>