Gm591 Essay

1442 Words6 Pages
Executive Summary: There are many preconceived ideas about property crime. A property crime does not involve force, but the taking of property or money is considered to some as to be a high-volume crime. I have analyzed the content of Case#49 Property Crimes. We are given the task of analyzing the data and answering the following questions: Are crime rates higher in urban than rural areas? Does unemployment or educational level contribute to property crime rates? Does public assistance contribute to property crime rates? Within analyzing the case I examine the eight variables that attribute to property crime, although there were three variables I chose that effect crime rate. When the density decrease by 1% this would cause a decrease in property crimes rate. When the dropout rate increases by 1% this would cause an increase in property crimes. Now when urban areas are high, the more property crimes will be committed. Introduction: A property crime often occurs when someone tries to steal something that is not the property of their own and in other scenarios, the destruction of someone else’s property. There are many different types of property crimes. Burglary, theft, motor vehicle theft, larceny and arson are a few that can fall under that category. This research is going to examine the cause of property crime based on the income, dropout, precipitation, public aid recipients, density, kids, unemployment, urban area and state. The information that was provided was given by variety of United States government sources. Regression Analysis: CRIMES versus PINCOME, DROPOUT, The regression equation is CRIMES = - 643 - 0.0183 PINCOME + 81.3 DROPOUT - 114 PUBAID - 1.98 DENSITY + 1.10 KIDS + 1.6 PRECIP - 46.4 UNEMPLOY + 64.4 URBAN Predictor Coef SE Coef T P Constant -643 1024

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