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Data X:
7.4 0.7 0 1.9 0.076 11 34 0.9978 3.51 0.56 9.4 5 7.8 0.88 0 2.6 0.098 25 67 0.9968 3.2 0.68 9.8 5 7.8 0.76 0.04 2.3 0.092 15 54 0.997 3.26 0.65 9.8 5 11.2 0.28 0.56 1.9 0.075 17 60 0.998 3.16 0.58 9.8 6 7.4 0.7 0 1.9 0.076 11 34 0.9978 3.51 0.56 9.4 5 7.4 0.66 0 1.8 0.075 13 40 0.9978 3.51 0.56 9.4 5 7.9 0.6 0.06 1.6 0.069 15 59 0.9964 3.3 0.46 9.4 5 7.3 0.65 0 1.2 0.065 15 21 0.9946 3.39 0.47 10 7 7.8 0.58 0.02 2 0.073 9 18 0.9968 3.36 0.57 9.5 7 7.5 0.5 0.36 6.1 0.071 17 102 0.9978 3.35 0.8 10.5 5 6.7 0.58 0.08 1.8 0.097 15 65 0.9959 3.28 0.54 9.2 5 7.5 0.5 0.36 6.1 0.071 17 102 0.9978 3.35 0.8 10.5 5 5.6 0.615 0 1.6 0.089 16 59 0.9943 3.58 0.52 9.9 5 7.8 0.61 0.29 1.6 0.114 9 29 0.9974 3.26 1.56 9.1 5 8.9 0.62 0.18 3.8 0.176 52 145 0.9986 3.16 0.88 9.2 5 8.9 0.62 0.19 3.9 0.17 51 148 0.9986 3.17 0.93 9.2 5 8.5 0.28 0.56 1.8 0.092 35 103 0.9969 3.3 0.75 10.5 7 8.1 0.56 0.28 1.7 0.368 16 56 0.9968 3.11 1.28 9.3 5 7.4 0.59 0.08 4.4 0.086 6 29 0.9974 3.38 0.5 9 4 7.9 0.32 0.51 1.8 0.341 17 56 0.9969 3.04 1.08 9.2 6 8.9 0.22 0.48 1.8 0.077 29 60 0.9968 3.39 0.53 9.4 6 7.6 0.39 0.31 2.3 0.082 23 71 0.9982 3.52 0.65 9.7 5 7.9 0.43 0.21 1.6 0.106 10 37 0.9966 3.17 0.91 9.5 5 8.5 0.49 0.11 2.3 0.084 9 67 0.9968 3.17 0.53 9.4 5 6.9 0.4 0.14 2.4 0.085 21 40 0.9968 3.43 0.63 9.7 6 6.3 0.39 0.16 1.4 0.08 11 23 0.9955 3.34 0.56 9.3 5 7.6 0.41 0.24 1.8 0.08 4 11 0.9962 3.28 0.59 9.5 5 7.9 0.43 0.21 1.6 0.106 10 37 0.9966 3.17 0.91 9.5 5 7.1 0.71 0 1.9 0.08 14 35 0.9972 3.47 0.55 9.4 5 7.8 0.645 0 2 0.082 8 16 0.9964 3.38 0.59 9.8 6 6.7 0.675 0.07 2.4 0.089 17 82 0.9958 3.35 0.54 10.1 5 6.9 0.685 0 2.5 0.105 22 37 0.9966 3.46 0.57 10.6 6 8.3 0.655 0.12 2.3 0.083 15 113 0.9966 3.17 0.66 9.8 5 6.9 0.605 0.12 10.7 0.073 40 83 0.9993 3.45 0.52 9.4 6 5.2 0.32 0.25 1.8 0.103 13 50 0.9957 3.38 0.55 9.2 5 7.8 0.645 0 5.5 0.086 5 18 0.9986 3.4 0.55 9.6 6 7.8 0.6 0.14 2.4 0.086 3 15 0.9975 3.42 0.6 10.8 6 8.1 0.38 0.28 2.1 0.066 13 30 0.9968 3.23 0.73 9.7 7 5.7 1.13 0.09 1.5 0.172 7 19 0.994 3.5 0.48 9.8 4 7.3 0.45 0.36 5.9 0.074 12 87 0.9978 3.33 0.83 10.5 5 7.3 0.45 0.36 5.9 0.074 12 87 0.9978 3.33 0.83 10.5 5 8.8 0.61 0.3 2.8 0.088 17 46 0.9976 3.26 0.51 9.3 4 7.5 0.49 0.2 2.6 0.332 8 14 0.9968 3.21 0.9 10.5 6 8.1 0.66 0.22 2.2 0.069 9 23 0.9968 3.3 1.2 10.3 5 6.8 0.67 0.02 1.8 0.05 5 11 0.9962 3.48 0.52 9.5 5 4.6 0.52 0.15 2.1 0.054 8 65 0.9934 3.9 0.56 13.1 4 7.7 0.935 0.43 2.2 0.114 22 114 0.997 3.25 0.73 9.2 5 8.7 0.29 0.52 1.6 0.113 12 37 0.9969 3.25 0.58 9.5 5 6.4 0.4 0.23 1.6 0.066 5 12 0.9958 3.34 0.56 9.2 5 5.6 0.31 0.37 1.4 0.074 12 96 0.9954 3.32 0.58 9.2 5 8.8 0.66 0.26 1.7 0.074 4 23 0.9971 3.15 0.74 9.2 5 6.6 0.52 0.04 2.2 0.069 8 15 0.9956 3.4 0.63 9.4 6 6.6 0.5 0.04 2.1 0.068 6 14 0.9955 3.39 0.64 9.4 6 8.6 0.38 0.36 3 0.081 30 119 0.997 3.2 0.56 9.4 5 7.6 0.51 0.15 2.8 0.11 33 73 0.9955 3.17 0.63 10.2 6 7.7 0.62 0.04 3.8 0.084 25 45 0.9978 3.34 0.53 9.5 5 10.2 0.42 0.57 3.4 0.07 4 10 0.9971 3.04 0.63 9.6 5 7.5 0.63 0.12 5.1 0.111 50 110 0.9983 3.26 0.77 9.4 5 7.8 0.59 0.18 2.3 0.076 17 54 0.9975 3.43 0.59 10 5 7.3 0.39 0.31 2.4 0.074 9 46 0.9962 3.41 0.54 9.4 6 8.8 0.4 0.4 2.2 0.079 19 52 0.998 3.44 0.64 9.2 5 7.7 0.69 0.49 1.8 0.115 20 112 0.9968 3.21 0.71 9.3 5 7.5 0.52 0.16 1.9 0.085 12 35 0.9968 3.38 0.62 9.5 7 7 0.735 0.05 2 0.081 13 54 0.9966 3.39 0.57 9.8 5 7.2 0.725 0.05 4.65 0.086 4 11 0.9962 3.41 0.39 10.9 5 7.2 0.725 0.05 4.65 0.086 4 11 0.9962 3.41 0.39 10.9 5 7.5 0.52 0.11 1.5 0.079 11 39 0.9968 3.42 0.58 9.6 5 6.6 0.705 0.07 1.6 0.076 6 15 0.9962 3.44 0.58 10.7 5 9.3 0.32 0.57 2 0.074 27 65 0.9969 3.28 0.79 10.7 5 8 0.705 0.05 1.9 0.074 8 19 0.9962 3.34 0.95 10.5 6 7.7 0.63 0.08 1.9 0.076 15 27 0.9967 3.32 0.54 9.5 6 7.7 0.67 0.23 2.1 0.088 17 96 0.9962 3.32 0.48 9.5 5 7.7 0.69 0.22 1.9 0.084 18 94 0.9961 3.31 0.48 9.5 5 8.3 0.675 0.26 2.1 0.084 11 43 0.9976 3.31 0.53 9.2 4 9.7 0.32 0.54 2.5 0.094 28 83 0.9984 3.28 0.82 9.6 5 8.8 0.41 0.64 2.2 0.093 9 42 0.9986 3.54 0.66 10.5 5 8.8 0.41 0.64 2.2 0.093 9 42 0.9986 3.54 0.66 10.5 5 6.8 0.785 0 2.4 0.104 14 30 0.9966 3.52 0.55 10.7 6 6.7 0.75 0.12 2 0.086 12 80 0.9958 3.38 0.52 10.1 5 8.3 0.625 0.2 1.5 0.08 27 119 0.9972 3.16 1.12 9.1 4 6.2 0.45 0.2 1.6 0.069 3 15 0.9958 3.41 0.56 9.2 5 7.8 0.43 0.7 1.9 0.464 22 67 0.9974 3.13 1.28 9.4 5 7.4 0.5 0.47 2 0.086 21 73 0.997 3.36 0.57 9.1 5 7.3 0.67 0.26 1.8 0.401 16 51 0.9969 3.16 1.14 9.4 5 6.3 0.3 0.48 1.8 0.069 18 61 0.9959 3.44 0.78 10.3 6 6.9 0.55 0.15 2.2 0.076 19 40 0.9961 3.41 0.59 10.1 5 8.6 0.49 0.28 1.9 0.11 20 136 0.9972 2.93 1.95 9.9 6 7.7 0.49 0.26 1.9 0.062 9 31 0.9966 3.39 0.64 9.6 5 9.3 0.39 0.44 2.1 0.107 34 125 0.9978 3.14 1.22 9.5 5 7 0.62 0.08 1.8 0.076 8 24 0.9978 3.48 0.53 9 5 7.9 0.52 0.26 1.9 0.079 42 140 0.9964 3.23 0.54 9.5 5 8.6 0.49 0.28 1.9 0.11 20 136 0.9972 2.93 1.95 9.9 6 8.6 0.49 0.29 2 0.11 19 133 0.9972 2.93 1.98 9.8 5 7.7 0.49 0.26 1.9 0.062 9 31 0.9966 3.39 0.64 9.6 5 5 1.02 0.04 1.4 0.045 41 85 0.9938 3.75 0.48 10.5 4 4.7 0.6 0.17 2.3 0.058 17 106 0.9932 3.85 0.6 12.9 6 6.8 0.775 0 3 0.102 8 23 0.9965 3.45 0.56 10.7 5 7 0.5 0.25 2 0.07 3 22 0.9963 3.25 0.63 9.2 5 7.6 0.9 0.06 2.5 0.079 5 10 0.9967 3.39 0.56 9.8 5 8.1 0.545 0.18 1.9 0.08 13 35 0.9972 3.3 0.59 9 6 8.3 0.61 0.3 2.1 0.084 11 50 0.9972 3.4 0.61 10.2 6 7.8 0.5 0.3 1.9 0.075 8 22 0.9959 3.31 0.56 10.4 6 8.1 0.545 0.18 1.9 0.08 13 35 0.9972 3.3 0.59 9 6 8.1 0.575 0.22 2.1 0.077 12 65 0.9967 3.29 0.51 9.2 5 7.2 0.49 0.24 2.2 0.07 5 36 0.996 3.33 0.48 9.4 5 8.1 0.575 0.22 2.1 0.077 12 65 0.9967 3.29 0.51 9.2 5 7.8 0.41 0.68 1.7 0.467 18 69 0.9973 3.08 1.31 9.3 5 6.2 0.63 0.31 1.7 0.088 15 64 0.9969 3.46 0.79 9.3 5 8 0.33 0.53 2.5 0.091 18 80 0.9976 3.37 0.8 9.6 6 8.1 0.785 0.52 2 0.122 37 153 0.9969 3.21 0.69 9.3 5 7.8 0.56 0.19 1.8 0.104 12 47 0.9964 3.19 0.93 9.5 5 8.4 0.62 0.09 2.2 0.084 11 108 0.9964 3.15 0.66 9.8 5 8.4 0.6 0.1 2.2 0.085 14 111 0.9964 3.15 0.66 9.8 5 10.1 0.31 0.44 2.3 0.08 22 46 0.9988 3.32 0.67 9.7 6 7.8 0.56 0.19 1.8 0.104 12 47 0.9964 3.19 0.93 9.5 5 9.4 0.4 0.31 2.2 0.09 13 62 0.9966 3.07 0.63 10.5 6 8.3 0.54 0.28 1.9 0.077 11 40 0.9978 3.39 0.61 10 6 7.8 0.56 0.12 2 0.082 7 28 0.997 3.37 0.5 9.4 6 8.8 0.55 0.04 2.2 0.119 14 56 0.9962 3.21 0.6 10.9 6 7 0.69 0.08 1.8 0.097 22 89 0.9959 3.34 0.54 9.2 6 7.3 1.07 0.09 1.7 0.178 10 89 0.9962 3.3 0.57 9 5 8.8 0.55 0.04 2.2 0.119 14 56 0.9962 3.21 0.6 10.9 6 7.3 0.695 0 2.5 0.075 3 13 0.998 3.49 0.52 9.2 5 8 0.71 0 2.6 0.08 11 34 0.9976 3.44 0.53 9.5 5 7.8 0.5 0.17 1.6 0.082 21 102 0.996 3.39 0.48 9.5 5 9 0.62 0.04 1.9 0.146 27 90 0.9984 3.16 0.7 9.4 5 8.2 1.33 0 1.7 0.081 3 12 0.9964 3.53 0.49 10.9 5 8.1 1.33 0 1.8 0.082 3 12 0.9964 3.54 0.48 10.9 5 8 0.59 0.16 1.8 0.065 3 16 0.9962 3.42 0.92 10.5 7 6.1 0.38 0.15 1.8 0.072 6 19 0.9955 3.42 0.57 9.4 5 8 0.745 0.56 2 0.118 30 134 0.9968 3.24 0.66 9.4 5 5.6 0.5 0.09 2.3 0.049 17 99 0.9937 3.63 0.63 13 5 5.6 0.5 0.09 2.3 0.049 17 99 0.9937 3.63 0.63 13 5 6.6 0.5 0.01 1.5 0.06 17 26 0.9952 3.4 0.58 9.8 6 7.9 1.04 0.05 2.2 0.084 13 29 0.9959 3.22 0.55 9.9 6 8.4 0.745 0.11 1.9 0.09 16 63 0.9965 3.19 0.82 9.6 5 8.3 0.715 0.15 1.8 0.089 10 52 0.9968 3.23 0.77 9.5 5 7.2 0.415 0.36 2 0.081 13 45 0.9972 3.48 0.64 9.2 5 7.8 0.56 0.19 2.1 0.081 15 105 0.9962 3.33 0.54 9.5 5 7.8 0.56 0.19 2 0.081 17 108 0.9962 3.32 0.54 9.5 5 8.4 0.745 0.11 1.9 0.09 16 63 0.9965 3.19 0.82 9.6 5 8.3 0.715 0.15 1.8 0.089 10 52 0.9968 3.23 0.77 9.5 5 5.2 0.34 0 1.8 0.05 27 63 0.9916 3.68 0.79 14 6 6.3 0.39 0.08 1.7 0.066 3 20 0.9954 3.34 0.58 9.4 5 5.2 0.34 0 1.8 0.05 27 63 0.9916 3.68 0.79 14 6 8.1 0.67 0.55 1.8 0.117 32 141 0.9968 3.17 0.62 9.4 5 5.8 0.68 0.02 1.8 0.087 21 94 0.9944 3.54 0.52 10 5 7.6 0.49 0.26 1.6 0.236 10 88 0.9968 3.11 0.8 9.3 5 6.9 0.49 0.1 2.3 0.074 12 30 0.9959 3.42 0.58 10.2 6 8.2 0.4 0.44 2.8 0.089 11 43 0.9975 3.53 0.61 10.5 6 7.3 0.33 0.47 2.1 0.077 5 11 0.9958 3.33 0.53 10.3 6 9.2 0.52 1 3.4 0.61 32 69 0.9996 2.74 2 9.4 4 7.5 0.6 0.03 1.8 0.095 25 99 0.995 3.35 0.54 10.1 5 7.5 0.6 0.03 1.8 0.095 25 99 0.995 3.35 0.54 10.1 5 7.1 0.43 0.42 5.5 0.07 29 129 0.9973 3.42 0.72 10.5 5 7.1 0.43 0.42 5.5 0.071 28 128 0.9973 3.42 0.71 10.5 5 7.1 0.43 0.42 5.5 0.07 29 129 0.9973 3.42 0.72 10.5 5 7.1 0.43 0.42 5.5 0.071 28 128 0.9973 3.42 0.71 10.5 5 7.1 0.68 0 2.2 0.073 12 22 0.9969 3.48 0.5 9.3 5 6.8 0.6 0.18 1.9 0.079 18 86 0.9968 3.59 0.57 9.3 6 7.6 0.95 0.03 2 0.09 7 20 0.9959 3.2 0.56 9.6 5 7.6 0.68 0.02 1.3 0.072 9 20 0.9965 3.17 1.08 9.2 4 7.8 0.53 0.04 1.7 0.076 17 31 0.9964 3.33 0.56 10 6 7.4 0.6 0.26 7.3 0.07 36 121 0.9982 3.37 0.49 9.4 5 7.3 0.59 0.26 7.2 0.07 35 121 0.9981 3.37 0.49 9.4 5 7.8 0.63 0.48 1.7 0.1 14 96 0.9961 3.19 0.62 9.5 5 6.8 0.64 0.1 2.1 0.085 18 101 0.9956 3.34 0.52 10.2 5 7.3 0.55 0.03 1.6 0.072 17 42 0.9956 3.37 0.48 9 4 6.8 0.63 0.07 2.1 0.089 11 44 0.9953 3.47 0.55 10.4 6 7.5 0.705 0.24 1.8 0.36 15 63 0.9964 3 1.59 9.5 5 7.9 0.885 0.03 1.8 0.058 4 8 0.9972 3.36 0.33 9.1 4 8 0.42 0.17 2 0.073 6 18 0.9972 3.29 0.61 9.2 6 8 0.42 0.17 2 0.073 6 18 0.9972 3.29 0.61 9.2 6 7.4 0.62 0.05 1.9 0.068 24 42 0.9961 3.42 0.57 11.5 6 7.3 0.38 0.21 2 0.08 7 35 0.9961 3.33 0.47 9.5 5 6.9 0.5 0.04 1.5 0.085 19 49 0.9958 3.35 0.78 9.5 5 7.3 0.38 0.21 2 0.08 7 35 0.9961 3.33 0.47 9.5 5 7.5 0.52 0.42 2.3 0.087 8 38 0.9972 3.58 0.61 10.5 6 7 0.805 0 2.5 0.068 7 20 0.9969 3.48 0.56 9.6 5 8.8 0.61 0.14 2.4 0.067 10 42 0.9969 3.19 0.59 9.5 5 8.8 0.61 0.14 2.4 0.067 10 42 0.9969 3.19 0.59 9.5 5 8.9 0.61 0.49 2 0.27 23 110 0.9972 3.12 1.02 9.3 5 7.2 0.73 0.02 2.5 0.076 16 42 0.9972 3.44 0.52 9.3 5 6.8 0.61 0.2 1.8 0.077 11 65 0.9971 3.54 0.58 9.3 5 6.7 0.62 0.21 1.9 0.079 8 62 0.997 3.52 0.58 9.3 6 8.9 0.31 0.57 2 0.111 26 85 0.9971 3.26 0.53 9.7 5 7.4 0.39 0.48 2 0.082 14 67 0.9972 3.34 0.55 9.2 5 7.7 0.705 0.1 2.6 0.084 9 26 0.9976 3.39 0.49 9.7 5 7.9 0.5 0.33 2 0.084 15 143 0.9968 3.2 0.55 9.5 5 7.9 0.49 0.32 1.9 0.082 17 144 0.9968 3.2 0.55 9.5 5 8.2 0.5 0.35 2.9 0.077 21 127 0.9976 3.23 0.62 9.4 5 6.4 0.37 0.25 1.9 0.074 21 49 0.9974 3.57 0.62 9.8 6 6.8 0.63 0.12 3.8 0.099 16 126 0.9969 3.28 0.61 9.5 5 7.6 0.55 0.21 2.2 0.071 7 28 0.9964 3.28 0.55 9.7 5 7.6 0.55 0.21 2.2 0.071 7 28 0.9964 3.28 0.55 9.7 5 7.8 0.59 0.33 2 0.074 24 120 0.9968 3.25 0.54 9.4 5 7.3 0.58 0.3 2.4 0.074 15 55 0.9968 3.46 0.59 10.2 5 11.5 0.3 0.6 2 0.067 12 27 0.9981 3.11 0.97 10.1 6 5.4 0.835 0.08 1.2 0.046 13 93 0.9924 3.57 0.85 13 7 6.9 1.09 0.06 2.1 0.061 12 31 0.9948 3.51 0.43 11.4 4 9.6 0.32 0.47 1.4 0.056 9 24 0.99695 3.22 0.82 10.3 7 8.8 0.37 0.48 2.1 0.097 39 145 0.9975 3.04 1.03 9.3 5 6.8 0.5 0.11 1.5 0.075 16 49 0.99545 3.36 0.79 9.5 5 7 0.42 0.35 1.6 0.088 16 39 0.9961 3.34 0.55 9.2 5 7 0.43 0.36 1.6 0.089 14 37 0.99615 3.34 0.56 9.2 6 12.8 0.3 0.74 2.6 0.095 9 28 0.9994 3.2 0.77 10.8 7 12.8 0.3 0.74 2.6 0.095 9 28 0.9994 3.2 0.77 10.8 7 7.8 0.57 0.31 1.8 0.069 26 120 0.99625 3.29 0.53 9.3 5 7.8 0.44 0.28 2.7 0.1 18 95 0.9966 3.22 0.67 9.4 5 11 0.3 0.58 2.1 0.054 7 19 0.998 3.31 0.88 10.5 7 9.7 0.53 0.6 2 0.039 5 19 0.99585 3.3 0.86 12.4 6 8 0.725 0.24 2.8 0.083 10 62 0.99685 3.35 0.56 10 6 11.6 0.44 0.64 2.1 0.059 5 15 0.998 3.21 0.67 10.2 6 8.2 0.57 0.26 2.2 0.06 28 65 0.9959 3.3 0.43 10.1 5 7.8 0.735 0.08 2.4 0.092 10 41 0.9974 3.24 0.71 9.8 6 7 0.49 0.49 5.6 0.06 26 121 0.9974 3.34 0.76 10.5 5 8.7 0.625 0.16 2 0.101 13 49 0.9962 3.14 0.57 11 5 8.1 0.725 0.22 2.2 0.072 11 41 0.9967 3.36 0.55 9.1 5 7.5 0.49 0.19 1.9 0.076 10 44 0.9957 3.39 0.54 9.7 5 7.8 0.53 0.33 2.4 0.08 24 144 0.99655 3.3 0.6 9.5 5 7.8 0.34 0.37 2 0.082 24 58 0.9964 3.34 0.59 9.4 6 7.4 0.53 0.26 2 0.101 16 72 0.9957 3.15 0.57 9.4 5 6.8 0.61 0.04 1.5 0.057 5 10 0.99525 3.42 0.6 9.5 5 8.6 0.645 0.25 2 0.083 8 28 0.99815 3.28 0.6 10 6 8.4 0.635 0.36 2 0.089 15 55 0.99745 3.31 0.57 10.4 4 7.7 0.43 0.25 2.6 0.073 29 63 0.99615 3.37 0.58 10.5 6 8.9 0.59 0.5 2 0.337 27 81 0.9964 3.04 1.61 9.5 6 9 0.82 0.14 2.6 0.089 9 23 0.9984 3.39 0.63 9.8 5 7.7 0.43 0.25 2.6 0.073 29 63 0.99615 3.37 0.58 10.5 6 6.9 0.52 0.25 2.6 0.081 10 37 0.99685 3.46 0.5 11 5 5.2 0.48 0.04 1.6 0.054 19 106 0.9927 3.54 0.62 12.2 7 8 0.38 0.06 1.8 0.078 12 49 0.99625 3.37 0.52 9.9 6 8.5 0.37 0.2 2.8 0.09 18 58 0.998 3.34 0.7 9.6 6 6.9 0.52 0.25 2.6 0.081 10 37 0.99685 3.46 0.5 11 5 8.2 1 0.09 2.3 0.065 7 37 0.99685 3.32 0.55 9 6 7.2 0.63 0 1.9 0.097 14 38 0.99675 3.37 0.58 9 6 7.2 0.63 0 1.9 0.097 14 38 0.99675 3.37 0.58 9 6 7.2 0.645 0 1.9 0.097 15 39 0.99675 3.37 0.58 9.2 6 7.2 0.63 0 1.9 0.097 14 38 0.99675 3.37 0.58 9 6 8.2 1 0.09 2.3 0.065 7 37 0.99685 3.32 0.55 9 6 8.9 0.635 0.37 1.7 0.263 5 62 0.9971 3 1.09 9.3 5 12 0.38 0.56 2.1 0.093 6 24 0.99925 3.14 0.71 10.9 6 7.7 0.58 0.1 1.8 0.102 28 109 0.99565 3.08 0.49 9.8 6 15 0.21 0.44 2.2 0.075 10 24 1.00005 3.07 0.84 9.2 7 15 0.21 0.44 2.2 0.075 10 24 1.00005 3.07 0.84 9.2 7 7.3 0.66 0 2 0.084 6 23 0.9983 3.61 0.96 9.9 6 7.1 0.68 0.07 1.9 0.075 16 51 0.99685 3.38 0.52 9.5 5 8.2 0.6 0.17 2.3 0.072 11 73 0.9963 3.2 0.45 9.3 5 7.7 0.53 0.06 1.7 0.074 9 39 0.99615 3.35 0.48 9.8 6 7.3 0.66 0 2 0.084 6 23 0.9983 3.61 0.96 9.9 6 10.8 0.32 0.44 1.6 0.063 16 37 0.9985 3.22 0.78 10 6 7.1 0.6 0 1.8 0.074 16 34 0.9972 3.47 0.7 9.9 6 11.1 0.35 0.48 3.1 0.09 5 21 0.9986 3.17 0.53 10.5 5 7.7 0.775 0.42 1.9 0.092 8 86 0.9959 3.23 0.59 9.5 5 7.1 0.6 0 1.8 0.074 16 34 0.9972 3.47 0.7 9.9 6 8 0.57 0.23 3.2 0.073 17 119 0.99675 3.26 0.57 9.3 5 9.4 0.34 0.37 2.2 0.075 5 13 0.998 3.22 0.62 9.2 5 6.6 0.695 0 2.1 0.075 12 56 0.9968 3.49 0.67 9.2 5 7.7 0.41 0.76 1.8 0.611 8 45 0.9968 3.06 1.26 9.4 5 10 0.31 0.47 2.6 0.085 14 33 0.99965 3.36 0.8 10.5 7 7.9 0.33 0.23 1.7 0.077 18 45 0.99625 3.29 0.65 9.3 5 7 0.975 0.04 2 0.087 12 67 0.99565 3.35 0.6 9.4 4 8 0.52 0.03 1.7 0.07 10 35 0.99575 3.34 0.57 10 5 7.9 0.37 0.23 1.8 0.077 23 49 0.9963 3.28 0.67 9.3 5 12.5 0.56 0.49 2.4 0.064 5 27 0.9999 3.08 0.87 10.9 5 11.8 0.26 0.52 1.8 0.071 6 10 0.9968 3.2 0.72 10.2 7 8.1 0.87 0 3.3 0.096 26 61 1.00025 3.6 0.72 9.8 4 7.9 0.35 0.46 3.6 0.078 15 37 0.9973 3.35 0.86 12.8 8 6.9 0.54 0.04 3 0.077 7 27 0.9987 3.69 0.91 9.4 6 11.5 0.18 0.51 4 0.104 4 23 0.9996 3.28 0.97 10.1 6 7.9 0.545 0.06 4 0.087 27 61 0.9965 3.36 0.67 10.7 6 11.5 0.18 0.51 4 0.104 4 23 0.9996 3.28 0.97 10.1 6 10.9 0.37 0.58 4 0.071 17 65 0.99935 3.22 0.78 10.1 5 8.4 0.715 0.2 2.4 0.076 10 38 0.99735 3.31 0.64 9.4 5 7.5 0.65 0.18 7 0.088 27 94 0.99915 3.38 0.77 9.4 5 7.9 0.545 0.06 4 0.087 27 61 0.9965 3.36 0.67 10.7 6 6.9 0.54 0.04 3 0.077 7 27 0.9987 3.69 0.91 9.4 6 11.5 0.18 0.51 4 0.104 4 23 0.9996 3.28 0.97 10.1 6 10.3 0.32 0.45 6.4 0.073 5 13 0.9976 3.23 0.82 12.6 8 8.9 0.4 0.32 5.6 0.087 10 47 0.9991 3.38 0.77 10.5 7 11.4 0.26 0.44 3.6 0.071 6 19 0.9986 3.12 0.82 9.3 6 7.7 0.27 0.68 3.5 0.358 5 10 0.9972 3.25 1.08 9.9 7 7.6 0.52 0.12 3 0.067 12 53 0.9971 3.36 0.57 9.1 5 8.9 0.4 0.32 5.6 0.087 10 47 0.9991 3.38 0.77 10.5 7 9.9 0.59 0.07 3.4 0.102 32 71 1.00015 3.31 0.71 9.8 5 9.9 0.59 0.07 3.4 0.102 32 71 1.00015 3.31 0.71 9.8 5 12 0.45 0.55 2 0.073 25 49 0.9997 3.1 0.76 10.3 6 7.5 0.4 0.12 3 0.092 29 53 0.9967 3.37 0.7 10.3 6 8.7 0.52 0.09 2.5 0.091 20 49 0.9976 3.34 0.86 10.6 7 11.6 0.42 0.53 3.3 0.105 33 98 1.001 3.2 0.95 9.2 5 8.7 0.52 0.09 2.5 0.091 20 49 0.9976 3.34 0.86 10.6 7 11 0.2 0.48 2 0.343 6 18 0.9979 3.3 0.71 10.5 5 10.4 0.55 0.23 2.7 0.091 18 48 0.9994 3.22 0.64 10.3 6 6.9 0.36 0.25 2.4 0.098 5 16 0.9964 3.41 0.6 10.1 6 13.3 0.34 0.52 3.2 0.094 17 53 1.0014 3.05 0.81 9.5 6 10.8 0.5 0.46 2.5 0.073 5 27 1.0001 3.05 0.64 9.5 5 10.6 0.83 0.37 2.6 0.086 26 70 0.9981 3.16 0.52 9.9 5 7.1 0.63 0.06 2 0.083 8 29 0.99855 3.67 0.73 9.6 5 7.2 0.65 0.02 2.3 0.094 5 31 0.9993 3.67 0.8 9.7 5 6.9 0.67 0.06 2.1 0.08 8 33 0.99845 3.68 0.71 9.6 5 7.5 0.53 0.06 2.6 0.086 20 44 0.9965 3.38 0.59 10.7 6 11.1 0.18 0.48 1.5 0.068 7 15 0.9973 3.22 0.64 10.1 6 8.3 0.705 0.12 2.6 0.092 12 28 0.9994 3.51 0.72 10 5 7.4 0.67 0.12 1.6 0.186 5 21 0.996 3.39 0.54 9.5 5 8.4 0.65 0.6 2.1 0.112 12 90 0.9973 3.2 0.52 9.2 5 10.3 0.53 0.48 2.5 0.063 6 25 0.9998 3.12 0.59 9.3 6 7.6 0.62 0.32 2.2 0.082 7 54 0.9966 3.36 0.52 9.4 5 10.3 0.41 0.42 2.4 0.213 6 14 0.9994 3.19 0.62 9.5 6 10.3 0.43 0.44 2.4 0.214 5 12 0.9994 3.19 0.63 9.5 6 7.4 0.29 0.38 1.7 0.062 9 30 0.9968 3.41 0.53 9.5 6 10.3 0.53 0.48 2.5 0.063 6 25 0.9998 3.12 0.59 9.3 6 7.9 0.53 0.24 2 0.072 15 105 0.996 3.27 0.54 9.4 6 9 0.46 0.31 2.8 0.093 19 98 0.99815 3.32 0.63 9.5 6 8.6 0.47 0.3 3 0.076 30 135 0.9976 3.3 0.53 9.4 5 7.4 0.36 0.29 2.6 0.087 26 72 0.99645 3.39 0.68 11 5 7.1 0.35 0.29 2.5 0.096 20 53 0.9962 3.42 0.65 11 6 9.6 0.56 0.23 3.4 0.102 37 92 0.9996 3.3 0.65 10.1 5 9.6 0.77 0.12 2.9 0.082 30 74 0.99865 3.3 0.64 10.4 6 9.8 0.66 0.39 3.2 0.083 21 59 0.9989 3.37 0.71 11.5 7 9.6 0.77 0.12 2.9 0.082 30 74 0.99865 3.3 0.64 10.4 6 9.8 0.66 0.39 3.2 0.083 21 59 0.9989 3.37 0.71 11.5 7 9.3 0.61 0.26 3.4 0.09 25 87 0.99975 3.24 0.62 9.7 5 7.8 0.62 0.05 2.3 0.079 6 18 0.99735 3.29 0.63 9.3 5 10.3 0.59 0.42 2.8 0.09 35 73 0.999 3.28 0.7 9.5 6 10 0.49 0.2 11 0.071 13 50 1.0015 3.16 0.69 9.2 6 10 0.49 0.2 11 0.071 13 50 1.0015 3.16 0.69 9.2 6 11.6 0.53 0.66 3.65 0.121 6 14 0.9978 3.05 0.74 11.5 7 10.3 0.44 0.5 4.5 0.107 5 13 0.998 3.28 0.83 11.5 5 13.4 0.27 0.62 2.6 0.082 6 21 1.0002 3.16 0.67 9.7 6 10.7 0.46 0.39 2 0.061 7 15 0.9981 3.18 0.62 9.5 5 10.2 0.36 0.64 2.9 0.122 10 41 0.998 3.23 0.66 12.5 6 10.2 0.36 0.64 2.9 0.122 10 41 0.998 3.23 0.66 12.5 6 8 0.58 0.28 3.2 0.066 21 114 0.9973 3.22 0.54 9.4 6 8.4 0.56 0.08 2.1 0.105 16 44 0.9958 3.13 0.52 11 5 7.9 0.65 0.01 2.5 0.078 17 38 0.9963 3.34 0.74 11.7 7 11.9 0.695 0.53 3.4 0.128 7 21 0.9992 3.17 0.84 12.2 7 8.9 0.43 0.45 1.9 0.052 6 16 0.9948 3.35 0.7 12.5 6 7.8 0.43 0.32 2.8 0.08 29 58 0.9974 3.31 0.64 10.3 5 12.4 0.49 0.58 3 0.103 28 99 1.0008 3.16 1 11.5 6 12.5 0.28 0.54 2.3 0.082 12 29 0.9997 3.11 1.36 9.8 7 12.2 0.34 0.5 2.4 0.066 10 21 1 3.12 1.18 9.2 6 10.6 0.42 0.48 2.7 0.065 5 18 0.9972 3.21 0.87 11.3 6 10.9 0.39 0.47 1.8 0.118 6 14 0.9982 3.3 0.75 9.8 6 10.9 0.39 0.47 1.8 0.118 6 14 0.9982 3.3 0.75 9.8 6 11.9 0.57 0.5 2.6 0.082 6 32 1.0006 3.12 0.78 10.7 6 7 0.685 0 1.9 0.067 40 63 0.9979 3.6 0.81 9.9 5 6.6 0.815 0.02 2.7 0.072 17 34 0.9955 3.58 0.89 12.3 7 13.8 0.49 0.67 3 0.093 6 15 0.9986 3.02 0.93 12 6 9.6 0.56 0.31 2.8 0.089 15 46 0.9979 3.11 0.92 10 6 9.1 0.785 0 2.6 0.093 11 28 0.9994 3.36 0.86 9.4 6 10.7 0.67 0.22 2.7 0.107 17 34 1.0004 3.28 0.98 9.9 6 9.1 0.795 0 2.6 0.096 11 26 0.9994 3.35 0.83 9.4 6 7.7 0.665 0 2.4 0.09 8 19 0.9974 3.27 0.73 9.3 5 13.5 0.53 0.79 4.8 0.12 23 77 1.0018 3.18 0.77 13 5 6.1 0.21 0.4 1.4 0.066 40.5 165 0.9912 3.25 0.59 11.9 6 6.7 0.75 0.01 2.4 0.078 17 32 0.9955 3.55 0.61 12.8 6 11.5 0.41 0.52 3 0.08 29 55 1.0001 3.26 0.88 11 5 10.5 0.42 0.66 2.95 0.116 12 29 0.997 3.24 0.75 11.7 7 11.9 0.43 0.66 3.1 0.109 10 23 1 3.15 0.85 10.4 7 12.6 0.38 0.66 2.6 0.088 10 41 1.001 3.17 0.68 9.8 6 8.2 0.7 0.23 2 0.099 14 81 0.9973 3.19 0.7 9.4 5 8.6 0.45 0.31 2.6 0.086 21 50 0.9982 3.37 0.91 9.9 6 11.9 0.58 0.66 2.5 0.072 6 37 0.9992 3.05 0.56 10 5 12.5 0.46 0.63 2 0.071 6 15 0.9988 2.99 0.87 10.2 5 12.8 0.615 0.66 5.8 0.083 7 42 1.0022 3.07 0.73 10 7 10 0.42 0.5 3.4 0.107 7 21 0.9979 3.26 0.93 11.8 6 12.8 0.615 0.66 5.8 0.083 7 42 1.0022 3.07 0.73 10 7 10.4 0.575 0.61 2.6 0.076 11 24 1 3.16 0.69 9 5 10.3 0.34 0.52 2.8 0.159 15 75 0.9998 3.18 0.64 9.4 5 9.4 0.27 0.53 2.4 0.074 6 18 0.9962 3.2 1.13 12 7 6.9 0.765 0.02 2.3 0.063 35 63 0.9975 3.57 0.78 9.9 5 7.9 0.24 0.4 1.6 0.056 11 25 0.9967 3.32 0.87 8.7 6 9.1 0.28 0.48 1.8 0.067 26 46 0.9967 3.32 1.04 10.6 6 7.4 0.55 0.22 2.2 0.106 12 72 0.9959 3.05 0.63 9.2 5 14 0.41 0.63 3.8 0.089 6 47 1.0014 3.01 0.81 10.8 6 11.5 0.54 0.71 4.4 0.124 6 15 0.9984 3.01 0.83 11.8 7 11.5 0.45 0.5 3 0.078 19 47 1.0003 3.26 1.11 11 6 9.4 0.27 0.53 2.4 0.074 6 18 0.9962 3.2 1.13 12 7 11.4 0.625 0.66 6.2 0.088 6 24 0.9988 3.11 0.99 13.3 6 8.3 0.42 0.38 2.5 0.094 24 60 0.9979 3.31 0.7 10.8 6 8.3 0.26 0.42 2 0.08 11 27 0.9974 3.21 0.8 9.4 6 13.7 0.415 0.68 2.9 0.085 17 43 1.0014 3.06 0.8 10 6 8.3 0.26 0.42 2 0.08 11 27 0.9974 3.21 0.8 9.4 6 8.3 0.26 0.42 2 0.08 11 27 0.9974 3.21 0.8 9.4 6 7.7 0.51 0.28 2.1 0.087 23 54 0.998 3.42 0.74 9.2 5 7.4 0.63 0.07 2.4 0.09 11 37 0.9979 3.43 0.76 9.7 6 7.8 0.54 0.26 2 0.088 23 48 0.9981 3.41 0.74 9.2 6 8.3 0.66 0.15 1.9 0.079 17 42 0.9972 3.31 0.54 9.6 6 7.8 0.46 0.26 1.9 0.088 23 53 0.9981 3.43 0.74 9.2 6 9.6 0.38 0.31 2.5 0.096 16 49 0.9982 3.19 0.7 10 7 5.6 0.85 0.05 1.4 0.045 12 88 0.9924 3.56 0.82 12.9 8 13.7 0.415 0.68 2.9 0.085 17 43 1.0014 3.06 0.8 10 6 9.5 0.37 0.52 2 0.082 6 26 0.998 3.18 0.51 9.5 5 8.4 0.665 0.61 2 0.112 13 95 0.997 3.16 0.54 9.1 5 12.7 0.6 0.65 2.3 0.063 6 25 0.9997 3.03 0.57 9.9 5 12 0.37 0.76 4.2 0.066 7 38 1.0004 3.22 0.6 13 7 6.6 0.735 0.02 7.9 0.122 68 124 0.9994 3.47 0.53 9.9 5 11.5 0.59 0.59 2.6 0.087 13 49 0.9988 3.18 0.65 11 6 11.5 0.59 0.59 2.6 0.087 13 49 0.9988 3.18 0.65 11 6 8.7 0.765 0.22 2.3 0.064 9 42 0.9963 3.1 0.55 9.4 5 6.6 0.735 0.02 7.9 0.122 68 124 0.9994 3.47 0.53 9.9 5 7.7 0.26 0.3 1.7 0.059 20 38 0.9949 3.29 0.47 10.8 6 12.2 0.48 0.54 2.6 0.085 19 64 1 3.1 0.61 10.5 6 11.4 0.6 0.49 2.7 0.085 10 41 0.9994 3.15 0.63 10.5 6 7.7 0.69 0.05 2.7 0.075 15 27 0.9974 3.26 0.61 9.1 5 8.7 0.31 0.46 1.4 0.059 11 25 0.9966 3.36 0.76 10.1 6 9.8 0.44 0.47 2.5 0.063 9 28 0.9981 3.24 0.65 10.8 6 12 0.39 0.66 3 0.093 12 30 0.9996 3.18 0.63 10.8 7 10.4 0.34 0.58 3.7 0.174 6 16 0.997 3.19 0.7 11.3 6 12.5 0.46 0.49 4.5 0.07 26 49 0.9981 3.05 0.57 9.6 4 9 0.43 0.34 2.5 0.08 26 86 0.9987 3.38 0.62 9.5 6 9.1 0.45 0.35 2.4 0.08 23 78 0.9987 3.38 0.62 9.5 5 7.1 0.735 0.16 1.9 0.1 15 77 0.9966 3.27 0.64 9.3 5 9.9 0.4 0.53 6.7 0.097 6 19 0.9986 3.27 0.82 11.7 7 8.8 0.52 0.34 2.7 0.087 24 122 0.9982 3.26 0.61 9.5 5 8.6 0.725 0.24 6.6 0.117 31 134 1.0014 3.32 1.07 9.3 5 10.6 0.48 0.64 2.2 0.111 6 20 0.997 3.26 0.66 11.7 6 7 0.58 0.12 1.9 0.091 34 124 0.9956 3.44 0.48 10.5 5 11.9 0.38 0.51 2 0.121 7 20 0.9996 3.24 0.76 10.4 6 6.8 0.77 0 1.8 0.066 34 52 0.9976 3.62 0.68 9.9 5 9.5 0.56 0.33 2.4 0.089 35 67 0.9972 3.28 0.73 11.8 7 6.6 0.84 0.03 2.3 0.059 32 48 0.9952 3.52 0.56 12.3 7 7.7 0.96 0.2 2 0.047 15 60 0.9955 3.36 0.44 10.9 5 10.5 0.24 0.47 2.1 0.066 6 24 0.9978 3.15 0.9 11 7 7.7 0.96 0.2 2 0.047 15 60 0.9955 3.36 0.44 10.9 5 6.6 0.84 0.03 2.3 0.059 32 48 0.9952 3.52 0.56 12.3 7 6.4 0.67 0.08 2.1 0.045 19 48 0.9949 3.49 0.49 11.4 6 9.5 0.78 0.22 1.9 0.077 6 32 0.9988 3.26 0.56 10.6 6 9.1 0.52 0.33 1.3 0.07 9 30 0.9978 3.24 0.6 9.3 5 12.8 0.84 0.63 2.4 0.088 13 35 0.9997 3.1 0.6 10.4 6 10.5 0.24 0.47 2.1 0.066 6 24 0.9978 3.15 0.9 11 7 7.8 0.55 0.35 2.2 0.074 21 66 0.9974 3.25 0.56 9.2 5 11.9 0.37 0.69 2.3 0.078 12 24 0.9958 3 0.65 12.8 6 12.3 0.39 0.63 2.3 0.091 6 18 1.0004 3.16 0.49 9.5 5 10.4 0.41 0.55 3.2 0.076 22 54 0.9996 3.15 0.89 9.9 6 12.3 0.39 0.63 2.3 0.091 6 18 1.0004 3.16 0.49 9.5 5 8 0.67 0.3 2 0.06 38 62 0.9958 3.26 0.56 10.2 6 11.1 0.45 0.73 3.2 0.066 6 22 0.9986 3.17 0.66 11.2 6 10.4 0.41 0.55 3.2 0.076 22 54 0.9996 3.15 0.89 9.9 6 7 0.62 0.18 1.5 0.062 7 50 0.9951 3.08 0.6 9.3 5 12.6 0.31 0.72 2.2 0.072 6 29 0.9987 2.88 0.82 9.8 8 11.9 0.4 0.65 2.15 0.068 7 27 0.9988 3.06 0.68 11.3 6 15.6 0.685 0.76 3.7 0.1 6 43 1.0032 2.95 0.68 11.2 7 10 0.44 0.49 2.7 0.077 11 19 0.9963 3.23 0.63 11.6 7 5.3 0.57 0.01 1.7 0.054 5 27 0.9934 3.57 0.84 12.5 7 9.5 0.735 0.1 2.1 0.079 6 31 0.9986 3.23 0.56 10.1 6 12.5 0.38 0.6 2.6 0.081 31 72 0.9996 3.1 0.73 10.5 5 9.3 0.48 0.29 2.1 0.127 6 16 0.9968 3.22 0.72 11.2 5 8.6 0.53 0.22 2 0.1 7 27 0.9967 3.2 0.56 10.2 6 11.9 0.39 0.69 2.8 0.095 17 35 0.9994 3.1 0.61 10.8 6 11.9 0.39 0.69 2.8 0.095 17 35 0.9994 3.1 0.61 10.8 6 8.4 0.37 0.53 1.8 0.413 9 26 0.9979 3.06 1.06 9.1 6 6.8 0.56 0.03 1.7 0.084 18 35 0.9968 3.44 0.63 10 6 10.4 0.33 0.63 2.8 0.084 5 22 0.9998 3.26 0.74 11.2 7 7 0.23 0.4 1.6 0.063 21 67 0.9952 3.5 0.63 11.1 5 11.3 0.62 0.67 5.2 0.086 6 19 0.9988 3.22 0.69 13.4 8 8.9 0.59 0.39 2.3 0.095 5 22 0.9986 3.37 0.58 10.3 5 9.2 0.63 0.21 2.7 0.097 29 65 0.9988 3.28 0.58 9.6 5 10.4 0.33 0.63 2.8 0.084 5 22 0.9998 3.26 0.74 11.2 7 11.6 0.58 0.66 2.2 0.074 10 47 1.0008 3.25 0.57 9 3 9.2 0.43 0.52 2.3 0.083 14 23 0.9976 3.35 0.61 11.3 6 8.3 0.615 0.22 2.6 0.087 6 19 0.9982 3.26 0.61 9.3 5 11 0.26 0.68 2.55 0.085 10 25 0.997 3.18 0.61 11.8 5 8.1 0.66 0.7 2.2 0.098 25 129 0.9972 3.08 0.53 9 5 11.5 0.315 0.54 2.1 0.084 5 15 0.9987 2.98 0.7 9.2 6 10 0.29 0.4 2.9 0.098 10 26 1.0006 3.48 0.91 9.7 5 10.3 0.5 0.42 2 0.069 21 51 0.9982 3.16 0.72 11.5 6 8.8 0.46 0.45 2.6 0.065 7 18 0.9947 3.32 0.79 14 6 11.4 0.36 0.69 2.1 0.09 6 21 1 3.17 0.62 9.2 6 8.7 0.82 0.02 1.2 0.07 36 48 0.9952 3.2 0.58 9.8 5 13 0.32 0.65 2.6 0.093 15 47 0.9996 3.05 0.61 10.6 5 9.6 0.54 0.42 2.4 0.081 25 52 0.997 3.2 0.71 11.4 6 12.5 0.37 0.55 2.6 0.083 25 68 0.9995 3.15 0.82 10.4 6 9.9 0.35 0.55 2.1 0.062 5 14 0.9971 3.26 0.79 10.6 5 10.5 0.28 0.51 1.7 0.08 10 24 0.9982 3.2 0.89 9.4 6 9.6 0.68 0.24 2.2 0.087 5 28 0.9988 3.14 0.6 10.2 5 9.3 0.27 0.41 2 0.091 6 16 0.998 3.28 0.7 9.7 5 10.4 0.24 0.49 1.8 0.075 6 20 0.9977 3.18 1.06 11 6 9.6 0.68 0.24 2.2 0.087 5 28 0.9988 3.14 0.6 10.2 5 9.4 0.685 0.11 2.7 0.077 6 31 0.9984 3.19 0.7 10.1 6 10.6 0.28 0.39 15.5 0.069 6 23 1.0026 3.12 0.66 9.2 5 9.4 0.3 0.56 2.8 0.08 6 17 0.9964 3.15 0.92 11.7 8 10.6 0.36 0.59 2.2 0.152 6 18 0.9986 3.04 1.05 9.4 5 10.6 0.36 0.6 2.2 0.152 7 18 0.9986 3.04 1.06 9.4 5 10.6 0.44 0.68 4.1 0.114 6 24 0.997 3.06 0.66 13.4 6 10.2 0.67 0.39 1.9 0.054 6 17 0.9976 3.17 0.47 10 5 10.2 0.67 0.39 1.9 0.054 6 17 0.9976 3.17 0.47 10 5 10.2 0.645 0.36 1.8 0.053 5 14 0.9982 3.17 0.42 10 6 11.6 0.32 0.55 2.8 0.081 35 67 1.0002 3.32 0.92 10.8 7 9.3 0.39 0.4 2.6 0.073 10 26 0.9984 3.34 0.75 10.2 6 9.3 0.775 0.27 2.8 0.078 24 56 0.9984 3.31 0.67 10.6 6 9.2 0.41 0.5 2.5 0.055 12 25 0.9952 3.34 0.79 13.3 7 8.9 0.4 0.51 2.6 0.052 13 27 0.995 3.32 0.9 13.4 7 8.7 0.69 0.31 3 0.086 23 81 1.0002 3.48 0.74 11.6 6 6.5 0.39 0.23 8.3 0.051 28 91 0.9952 3.44 0.55 12.1 6 10.7 0.35 0.53 2.6 0.07 5 16 0.9972 3.15 0.65 11 8 7.8 0.52 0.25 1.9 0.081 14 38 0.9984 3.43 0.65 9 6 7.2 0.34 0.32 2.5 0.09 43 113 0.9966 3.32 0.79 11.1 5 10.7 0.35 0.53 2.6 0.07 5 16 0.9972 3.15 0.65 11 8 8.7 0.69 0.31 3 0.086 23 81 1.0002 3.48 0.74 11.6 6
Names of X columns:
fixedacidity volatileacidity citricacid residualsugar chlorides freesulfurdioxide totalsulfurdioxide density pH sulphates alcohol quality
Endogenous Variable (Column Number)
Categorization
Do not include Seasonal Dummies
none
quantiles
hclust
equal
Number of categories (only if categorization<>none)
Cross-Validation? (only if categorization<>none)
no
yes
Chart options
R Code
library(party) library(Hmisc) par1 <- as.numeric(par1) par3 <- as.numeric(par3) x <- data.frame(t(y)) is.data.frame(x) x <- x[!is.na(x[,par1]),] k <- length(x[1,]) n <- length(x[,1]) colnames(x)[par1] x[,par1] if (par2 == 'kmeans') { cl <- kmeans(x[,par1], par3) print(cl) clm <- matrix(cbind(cl$centers,1:par3),ncol=2) clm <- clm[sort.list(clm[,1]),] for (i in 1:par3) { cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='') } cl$cluster <- as.factor(cl$cluster) print(cl$cluster) x[,par1] <- cl$cluster } if (par2 == 'quantiles') { x[,par1] <- cut2(x[,par1],g=par3) } if (par2 == 'hclust') { hc <- hclust(dist(x[,par1])^2, 'cen') print(hc) memb <- cutree(hc, k = par3) dum <- c(mean(x[memb==1,par1])) for (i in 2:par3) { dum <- c(dum, mean(x[memb==i,par1])) } hcm <- matrix(cbind(dum,1:par3),ncol=2) hcm <- hcm[sort.list(hcm[,1]),] for (i in 1:par3) { memb[memb==hcm[i,2]] <- paste('C',i,sep='') } memb <- as.factor(memb) print(memb) x[,par1] <- memb } if (par2=='equal') { ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep='')) x[,par1] <- as.factor(ed) } table(x[,par1]) colnames(x) colnames(x)[par1] x[,par1] if (par2 == 'none') { m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) } load(file='createtable') if (par2 != 'none') { m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x) if (par4=='yes') { a<-table.start() a<-table.row.start(a) a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'',1,TRUE) a<-table.element(a,'Prediction (training)',par3+1,TRUE) a<-table.element(a,'Prediction (testing)',par3+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Actual',1,TRUE) for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE) a<-table.element(a,'CV',1,TRUE) for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE) a<-table.element(a,'CV',1,TRUE) a<-table.row.end(a) for (i in 1:10) { ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1)) m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,]) if (i==1) { m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,]) m.ct.i.actu <- x[ind==1,par1] m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,]) m.ct.x.actu <- x[ind==2,par1] } else { m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,])) m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1]) m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,])) m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1]) } } print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred)) numer <- 0 for (i in 1:par3) { print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,])) numer <- numer + m.ct.i.tab[i,i] } print(m.ct.i.cp <- numer / sum(m.ct.i.tab)) print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred)) numer <- 0 for (i in 1:par3) { print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,])) numer <- numer + m.ct.x.tab[i,i] } print(m.ct.x.cp <- numer / sum(m.ct.x.tab)) for (i in 1:par3) { a<-table.row.start(a) a<-table.element(a,paste('C',i,sep=''),1,TRUE) for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj]) a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4)) for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj]) a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4)) a<-table.row.end(a) } a<-table.row.start(a) a<-table.element(a,'Overall',1,TRUE) for (jjj in 1:par3) a<-table.element(a,'-') a<-table.element(a,round(m.ct.i.cp,4)) for (jjj in 1:par3) a<-table.element(a,'-') a<-table.element(a,round(m.ct.x.cp,4)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable3.tab') } } m bitmap(file='test1.png') plot(m) dev.off() bitmap(file='test1a.png') plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response') dev.off() if (par2 == 'none') { forec <- predict(m) result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec)) colnames(result) <- c('Actuals','Forecasts','Residuals') print(result) } if (par2 != 'none') { print(cbind(as.factor(x[,par1]),predict(m))) myt <- table(as.factor(x[,par1]),predict(m)) print(myt) } bitmap(file='test2.png') if(par2=='none') { op <- par(mfrow=c(2,2)) plot(density(result$Actuals),main='Kernel Density Plot of Actuals') plot(density(result$Residuals),main='Kernel Density Plot of Residuals') plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals') plot(density(result$Forecasts),main='Kernel Density Plot of Predictions') par(op) } if(par2!='none') { plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted') } dev.off() if (par2 == 'none') { detcoef <- cor(result$Forecasts,result$Actuals) a<-table.start() a<-table.row.start(a) a<-table.element(a,'Goodness of Fit',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation',1,TRUE) a<-table.element(a,round(detcoef,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'R-squared',1,TRUE) a<-table.element(a,round(detcoef*detcoef,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'RMSE',1,TRUE) a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'#',header=TRUE) a<-table.element(a,'Actuals',header=TRUE) a<-table.element(a,'Forecasts',header=TRUE) a<-table.element(a,'Residuals',header=TRUE) a<-table.row.end(a) for (i in 1:length(result$Actuals)) { a<-table.row.start(a) a<-table.element(a,i,header=TRUE) a<-table.element(a,result$Actuals[i]) a<-table.element(a,result$Forecasts[i]) a<-table.element(a,result$Residuals[i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') } if (par2 != 'none') { a<-table.start() a<-table.row.start(a) a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'',1,TRUE) for (i in 1:par3) { a<-table.element(a,paste('C',i,sep=''),1,TRUE) } a<-table.row.end(a) for (i in 1:par3) { a<-table.row.start(a) a<-table.element(a,paste('C',i,sep=''),1,TRUE) for (j in 1:par3) { a<-table.element(a,myt[i,j]) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab') }
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Raw Input
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Raw Output
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Computing time
2 seconds
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Big Analytics Cloud Computing Center
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