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Generally, a particular group is more or less safe because of vehicle safety devices depends on the magnitude of the e?ect of o?setting behavior on that group. So we use regression analysis on state-level data to test for the presence of o?setting behavior by estimating models explaining occupant and non occupant motor vehicle deaths. And there are several factors generally acknowledged as being determinants of highway deaths: Average temperature, Pop density, vehicle mileage, percentage of urban roads in a state, and the impact of seat belt laws. And think about the problem:Do states with primary seat belt laws have lower tra?c fatality rates?

Problem

analysis The variablesNoFAT

nonoccupant fatalities and is the sum of reported statistics on bicyclist, pedestrian, and motorcyclist deaths；DPFat

occupant fatalities and is the sum of driver fatalities and passenger fatalities; The variablesPctUrban:

The percentage of urban roads in a

state .Theoretically, the direction of the e?ect of a greater share of urban driving is unclear: urban travel is usually associated with greater levels of congestion that imply lower speed but greater risk of an accident. Previous studies have found evidence of an inverse relationship between Urban and occupant deaths and a direct relationship for nonoccupants .Temp:

Average Temperature ,Numerous studies, including Evans and Graham (1991), Houston, Richardson, and Neeley (1995), Koshal (1976) 内容过长，仅展示头部和尾部部分文字预览，全文请查看图片预览。 tual deaths in states with seatbelts law.The conclusionFrom the column diagram, we can see that the predicted value is larger than the real value, so there is no o?setting behavior, and states with primary seat belt laws have lower tra?c fatality ratesThank you for watching [文章尾部最后300字内容到此结束,中间部分内容请查看底下的图片预览]请点击下方选择您需要的文档下载。

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