Research Article
Predictive Probability Models of Road Traffic Human Deaths with Demographic Factors in Ghana
Table 4
Fitted values for the logistic, probit, and linear probability regression models.
| | | Casualties | | | | | Age groups | Gender | Persons injured | Persons killed | Proportion | Logit fit | Probit fit | Identity fit | Present |
| 0–5 | Male | 972 | 376 | 0.2789 | 0.2511 | 0.2478 | 0.2340 | Female | 329 | 103 | 0.2384 | 0.2122 | 0.2118 | 0.2086 |
| 6–15 | Male | 2170 | 563 | 0.2060 | 0.1998 | 0.1995 | 0.1968 | Female | 748 | 153 | 0.1698 | 0.1671 | 0.1680 | 0.1715 |
| 16–25 | Male | 8522 | 1395 | 0.1407 | 0.1567 | 0.1574 | 0.1597 | Female | 2890 | 386 | 0.1178 | 0.1299 | 0.1306 | 0.1344 |
| 26–35 | Male | 13782 | 2129 | 0.1338 | 0.1215 | 0.1216 | 0.1226 | Female | 4737 | 587 | 0.1103 | 0.1000 | 0.0993 | 0.0972 |
| 36–45 | Male | 9492 | 1472 | 0.1343 | 0.1382 | 0.1387 | 0.1411 | Female | 3264 | 406 | 0.1106 | 0.1141 | 0.1142 | 0.1158 |
| 46–55 | Male | 4245 | 804 | 0.1592 | 0.1772 | 0.1777 | 0.1783 | Female | 1461 | 220 | 0.1309 | 0.1475 | 0.1485 | 0.1529 |
| 56–65 | Male | 1993 | 551 | 0.2166 | 0.2244 | 0.2229 | 0.2154 | Female | 686 | 152 | 0.1814 | 0.1886 | 0.1891 | 0.1901 |
| Over 65 | Male | 793 | 396 | 0.3331 | 0.2799 | 0.2740 | 0.2525 | Female | 273 | 109 | 0.2853 | 0.2380 | 0.2360 | 0.2272 |
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