Regression Models with Categorical Variables 127tAble 6.2 (continued)
Issue # Residuals Residuals Dummy 1 Residuals Dummy 2
61 11.362190 –21.353800 –35.607900
62 139.148000 129.380400 118.803100
63 158.084100 149.524300 139.140600
64 –56.785300 –60.952000 –51.339900
65 153.651800 194.149900 205.750200
66 –15.653600 –28.630900 –40.227500
67 –19.612200 –14.472300 –23.166100
68 209.488200 144.261600 67.891100
69 –185.659000 –100.217000 –63.396000
70 –91.541800 –92.646100 –91.015000
71 –36.623800 –33.937000 –29.003400
72 –65.586300 –51.301800 –59.080100
73 39.294110 32.661770 32.391920
74 28.197460 14.759650 12.952710
75 –73.910000 –28.902200 –22.353300
76 –78.608000 –47.733800 –48.902600
77 5.711553 30.546620 28.410290
78 –10.926100 22.258560 38.888810
79 –71.611400 –69.462200 –67.416900
80 –10.848000 3.505179 15.383910
81 –78.195700 32.775440 61.748590
82 123.041000 191.738700 213.938800
83 –223.662000 –160.978000 –142.925000
84 –58.977600 –47.671100 –33.850800
85 203.727300 257.223800 270.556600
86 267.904600 –65.208100 89.636310
87 220.923600 –4.162260 42.473790
88 –12.621600 –142.213000 –168.474000
89 31.862060 –127.616000 –134.267000
90 –53.593800 –57.028600 –45.579800
91 –70.794900 –73.470000 –70.669700
92 24.164780 34.342730 62.098550
93 –171.291000 –73.744300 –52.943000
94 17.439710 –22.092800 –20.420000
95 –74.246100 –56.942100 –64.236600
96 –42.690600 –42.602900 –31.958300
97 114.168900 –66.109500 –66.049500
98 114.578500 129.177300 145.600600
99 –34.225400 –7.862790 –13.705900
100 –6.958960 –10.488100 –13.508000
101 81.920940 112.117900 101.420600
102 70.515070 127.283800 120.844000
103 –18.587600 24.683610 20.132390
104 –8.443100 –26.784100 –28.884400
105 13.449820 6.582981 6.321103
(continued)