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Author FACTORS RELATED TO ARUSHI KAPOOR YIANNI KANELLOPOULOS THE CRIME RATE IN YIQING YANG WEI WANG NORTH CAROLINA 1. Background 1.1 Basic situation of data This dataset contains data for 90 of North Carolina’s 100 Counties. For our purposes, the dependent variable is the crime rate, which is calculated as a ratio of the total crimes committed in the county to the county population and measure
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    Author ARUSHI KAPOOR YIANNI KANELLOPOULOSYIQING YANGWEI WANG   FACTORS RELATED TOTHE CRIME RATE INNORTH CAROLINA    1.Background 1.1 Basic siuaion o! daa #is daas$ conains daa !or %& o! Nor# 'aro(ina)s 1&& 'ouni$s. *or our +ur+os$s, #$ d$+$nd$n -aria($ is #$ cri/$ ra$, 0#ic# is ca(cu(a$d as a raio o! #$ oa( cri/$s co//i$d in #$ coun o #$ coun +o+u(aion and /$asur$d !or $ac# $ar $0$$n 1%21 and 1%23. #roug#ou #is +$riod, cri/$ ra$s !or #$ sa$ as a 0#o($ r$/ain$d r$(ai-$( consan, saring !ro/ &.&456 cri/$s +$r +$rson in 1%21,r$ac#ing a (oca( /ini/u/ in 1%24 o! &.&4&4, and c(i/ing ack u+ o &.&475  1%23. #$r$ ar$ 68 ind$+$nd$n -aria($s, inc(uding 0ag$s !or s+$ci!i$d indusri$s, +roai(i o! $ing s$n$nc$d and con-ic$d, +o+u(aion d$nsi, +o(ic$ o!!ic$r d$nsi, and #$ +$rc$nag$ o! oung /a($s. 1.6 9aria($ $:+(anaion Format  1.8 Our ana(;ing +ur+os$ 1  A r$gion)s cri/$ ra$ is i$d o nu/$rous i/+oran !acors. R$gions 0i# #ig# cri/$ ra$s induc$ r$giona( d$+o+u(aion, 0#ic# in urn r$duc$s a: r$-$nu$ and is unaraci-$ o usin$ss$s, $ncouraging $cono/ic sagnaion <'u(($n and L$-i 1%%7=. *ur#$r, r$gions 0i# #ig# cri/$ $nd o #a-$ +oor$r $ducaiona( ouco/$s, as sud$ns in #ig#>cri/$ ar$as $nd o $ /or$ 0orri$d aou s$(!>+r$s$r-aion #an c(assroo/ succ$ss. As suc#, 0$ s$$k o !ind !acors #a ar$ +r$dici-$ o! cri/$ ra$s, and us$ our !indings o sugg$s 0as in 0#ic# couni$s can r$duc$ #$ir cri/$ ra$s. 6.E:+(oraor ?aa Ana(sis6.1 Nu/$rica( 9aria($s a($ 1 a($ 1 s#o0s /$an, sandard d$-iaion, /in -a(u$, !irs @uari($, /$dian, #ird @uari($ and #$ /a:i/u/ -a(u$ o! $ac# -aria($s. 'ri/$ ra$ in $ac# r$gion <'r/r$= is #$ d$+$nd$n -aria($, and o#$rs ar$ nu/$rica( ind$+$nd$n -aria($s. 6.6 'a$gorica( 9aria($s #$n 0$ 0i(( s$$ #o0 #$ /$an -a(u$ o! $ac# nu/$rica( -aria($s di!!$r in ca$gorica( -aria($s s/sa, $ar, and r$gion. a($ 6W$ noic$ #a a (arg$ a/oun o! -aria($s #a-$ signi!ican di!!$r$nc$ in di!!$r$n s/sa saus, and s/sa r$gion #as a #ig#$r cri/$ ra$, 0#ic# indica$s #a s/sa /ig# $ a good +r$dicor. a($ 8 H$r$, 0$ noic$ #a #$ cri/$ ra$ /ak$s a s(ig# uC s#a+$, d$cr$asing !ro/ 1%21>24 u incr$asing #$r$a!$r. W$ a(so noic$ #a 0ag$ is incr$asing, #anks o Rona(d R$agan. 2  a($ 4 #$ 0$s r$gion #as a signi!ican( (o0$r cri/$ ra$ 0#$n co/+ar$d o c$nra( and o#$r. #$ o#$r ind$+$nd$n -aria($s a(so #a-$ disincions, 0#ic# indica$s #a r$gion /ig# $ a good  +r$dicor. 'onsid$ring #a #$ nu/$r o! so/$ -aria($s ar$ s/a(( (ik$ cri/$ ra$ <!ro/ &.&&12 o &.1782=,and #$ nu/$r o! o#$r -aria($s ar$ (arg$ (ik$ 0$$k( 0ag$ o! !$d$ra( $/+(o$$s <!ro/ 871.565 o 5%3.%5=, 0$ sandardi;$ a(( -aria($s o /ak$ #$ /od$( /or$ r$ada($. #$ o-$r-i$0 o! #$ sandardi;$d daa is s#o0n as $(o0. 6.8 ?aa 9isua(i;aion 3
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