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 groupsGenderPersons injuredPersons killedProportionLogit fitProbit fitIdentity fit
Present

0–5Male9723760.27890.25110.24780.2340
Female3291030.23840.21220.21180.2086

6–15Male21705630.20600.19980.19950.1968
Female7481530.16980.16710.16800.1715

16–25Male852213950.14070.15670.15740.1597
Female28903860.11780.12990.13060.1344

26–35Male1378221290.13380.12150.12160.1226
Female47375870.11030.10000.09930.0972

36–45Male949214720.13430.13820.13870.1411
Female32644060.11060.11410.11420.1158

46–55Male42458040.15920.17720.17770.1783
Female14612200.13090.14750.14850.1529

56–65Male19935510.21660.22440.22290.2154
Female6861520.18140.18860.18910.1901

Over 65Male7933960.33310.27990.27400.2525
Female2731090.28530.23800.23600.2272