Citation
Booze & Broken Laws: Linear Regression of Alcohol Crime Rates Using Liquor License Distribution

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Title:
Booze & Broken Laws: Linear Regression of Alcohol Crime Rates Using Liquor License Distribution
Creator:
H, Samone
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Poster

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Abstract:
This research was conducted in an attempt to identify a relationship, whether it be positive or negative, between the number of alcohol related crimes in the Denver metro area and several other factors such as the number of uniformed officers per average income per capita, and the number of bars and liquor retailers which is represented in the data by liquor licenses. The collective data is divided into six groups which represented the data taken from each of the six police districts. This data collected is from 2016 and 2017 since it is the most current representation of the alcohol related crimes.
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Collected for Auraria Institutional Repository by the Self-Submittal tool. Submitted by Samone H.

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Auraria Institutional Repository
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Auraria Library
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Booze and Broken Laws: Linear Regression of Alcohol Crime Rates Using Liquor License Distributions Introduction: This research was conducted in an attempt to identify a relationship, whether it be positive or negative, between the number of alcohol related crimes in the Denver metro area and several other factors such as the number of uniformed officers per average income per capita, and the number of bars and liquor retailers which is represented in the data by liquor licenses. The collective data is divided into six groups which represented the data taken from each of the six police districts. This data collected is from 2016 and 2017 since it is the most current representation of the alcohol related crimes. Methods: Linear regression To determine the relationship between the number of alcohol related crimes ant other factors. To predict future alcohol related crime rates as some of these current factors are likely to change. Variables: income per capita, liquor license number, police stations, police officers per 10,000 and population. Hypothesis: H 0 : !=0 H 1 : "0 Alpha (#): 0.05 Results : Denver Metro Police Districts Conclusions: The data analysis indicates there is not a linear relationship between four of the five variables, with population being the only one to show a linear relationship with alcohol crime numbers. Due to the fact we were unable to find a direct linear relationship between most of our chosen variables and alcohol related crime rates we would advise for more data to be collected and for more research to be done to find other factors which may influence alcohol related crimes. Future Policy Implementations: Directing resources towards obtaining new data in regards to the influx of people in and out of Denver throughout the day. Increase patrols by police officers, downtown security and community watch groups in areas known to have high alcohol related crime rates More funding for programs that spread awareness about liquor laws as well as ways to promote safer drinking habits. Liquor licenses and Population 2016 2017 Crime and Population 2016 2017 Crime and Income Per Capita 2016 2017 Police Stations and Crime 2016 References: Alcohol Related Crimes Statistics and Facts. Retrieved November 19, 2018, from https://www.alcoholrehabguide.org/alcohol/crimes Denver Crimes Drug And Alcohol Crime 2017 Crime Report. Retrieved November 17, 2018, from https://crime.denverpost.com/crime/drugalcohol/by-date/2017 Denver Open Data Catalog. (n.d.). Retrieved from https:// www.denvergov.org/opendata/dataset/city-and-county-of-denver-policestations Law Enforcement Officers Per Capita for Cities, Local Departments. Governing Magazine: State and Local Government News for America's Leaders Governing. www.governing.com/gov-data/safety-justice/lawenforcement-police-department-employee-totals-for-cities.html Police Stations & Districts. About www.denvergov.org/maps/map/police