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1982 Words Aug 30th, 2012 8 Pages
Property Crimes Case Study # 49

Applied Managerial Statistics: GM533

Virginia Davis, Lauren Holder, Stanley Philip and Andrea Watson

Executive Summary

The Property Crimes study examined data provided by various U.S. government agencies on crime rates in the fifty U.S. states. Other data studied were eight possible contributing factors such as per capita income, high school dropout rate, average precipitation, population density, and urbanization. Analysis revealed, of the eight possible contributing factors, three of those variables (urbanization rate, high school dropout rate and population density) affected property crime rates. Of the given data, the model accounted for approximately 66% of the contributing factors
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KIDS 1.104 1.449 0.76 0.450
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PRECIP 1.58 11.16 0.14 0.888
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UNEMPLOY -46.38 79.65 -0.58 0.564
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URBAN 64.39 10.93 5.89 0.000

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S = 749.394 R-Sq = 69.0% R-Sq(adj) = 63.0%
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Analysis of Variance
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Source DF SS MS F P
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Regression 8 51341130 6417641 11.43 0.000
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Residual Error 41 23025269 561592
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Total 49 74366399

The regression analysis was initially run using all variables to determine the significance of each when associated
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