Regression Models with Categorical Variables 129tAble 6.2 (continued)
Issue # Residuals Residuals Dummy 1 Residuals Dummy 2
153 –62.947300 –17.362000 –21.403800
154 14.480140 10.216950 6.659433
155 40.160620 41.936480 39.346550
156 –115.159000 –107.344000 –108.966000
157 –94.946500 –81.696400 –82.447900
158 –28.010400 –13.552500 –14.110500
159 –110.127000 –85.111400 –96.632900
160 9.959282 18.682370 12.662020
161 89.889700 57.689740 48.509480
162 150.675500 141.424000 135.920500
163 150.611600 142.567900 137.258000
164 –38.040900 –36.521000 –48.754100
165 55.443990 95.437610 88.132530
166 –4.652580 –18.233400 –27.698600
167 –10.611100 –6.074840 –12.637200
168 35.778970 164.163000 162.921500
169 –215.328000 –131.013000 –135.422000
170 –59.986400 –60.605400 –70.729300
171 –74.693600 –66.782400 –69.716200
172 –13.734800 0.523639 –3.905600
173 45.295840 38.898770 30.164940
174 30.476800 13.024800 3.159872
175 –67.888500 –25.271900 –23.635500
176 –135.061000 –103.830000 –107.375000
177 –90.741200 –65.550000 –70.062300
178 –28.683300 4.187387 –4.706060
179 –103.027000 –97.290000 –106.078000
180 –88.975000 –66.845700 –77.367900
181 –177.281000 –67.904100 –66.493200
182 –43.044700 24.059160 18.696920
183 –212.505000 –152.131000 –155.963000
184 –38.210800 –25.916400 –34.173800
185 –66.764700 –12.702000 –17.886300
186 295.611300 –36.578800 106.036400
187 176.630300 –47.533000 –13.126100
188 324.060100 189.413000 136.666400
189 221.951100 76.029960 34.046210
190 –58.422000 –59.380500 –70.254000
191 –37.907200 –39.303500 –49.850800
192 53.841660 65.166450 51.559780
193 –166.323000 –68.275700 –66.904900
194 –45.521100 –79.888400 –90.959200
195 –30.394500 –13.116600 –17.062000
(continued)