LIST OF TABLES

Ying Xu
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Abstract

This research project examines the relationship between property crime and economic inequalities from counties 49 counties in California from 2010 to 2012. We choose the data less a decade, it is easier for us to forecasting than older data. First, we investigate the correlation between poverty rate and property crime rate. Second, we study the rela­ tionship between property crime rate and our explanatory variables that included poverty rate, foreclosure rate, welfare receive rate, unemployment rate, and gang membership rate, medium income. My research contains different type of variables and will exam which one will make impact to the property crime rate. We eliminate insignificant vari­ ables, one at a time by analyzing adjusted R square , P-value, and T-test, and then run the regression analysis with relevant variables. Our results prove that poverty rate, medium income, foreclosure rate and welfare receive rate have statistically significant effect one property crime rate.
表格一览表
本研究项目考察了2010年至2012年加州49个县财产犯罪与经济不平等之间的关系。我们选择不到十年的数据,这对我们来说比以前的数据更容易预测。首先,我们考察了贫困率与财产犯罪率之间的相关性。其次,我们研究财产犯罪率与我们的解释变量包括贫困率、止赎率、福利领取率、失业率、帮派成员率、中等收入之间的关系。我的研究包含不同类型的变量,并将检验哪一个会对财产犯罪率产生影响。我们通过分析调整后的R方、p值和t检验逐一剔除不显著的变量,然后对相关变量进行回归分析。研究结果表明,贫困率、中等收入、止赎率和福利领取率对财产犯罪率的影响具有统计学意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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