ISSN: 2169-0170

Journal of Civil & Legal Sciences
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  • Research Article   
  • J Civ Leg Sci,

An Analysis of Predictors of the Total Incarcerated Population in the U.S. using Regression Analysis

Francesca Amato*
Department of applied analytics, Columbia University, New York City, New York, United States
*Corresponding Author : Francesca Amato, Department of applied analytics, Columbia University, New York City, New York, United States, Tel: 05164746326, Email: francescaamato932@yahoo.com

Received Date: Nov 05, 2021 / Accepted Date: Nov 19, 2021 / Published Date: Nov 26, 2021

Abstract

Incarceration rates in the United States have been on steady increase since the 1980s. While the U.S. holds about 4% of the world’s population, it holds about 22% of the world’s incarcerated population. Analyzing the races of these incarcerated populations by state has shown that minority individuals are incarcerated at much higher rates than White individuals. Some may argue that race is a determining factor of whether or not an individual has negative interactions with police, is arrested, and convicted. In this study, regression analysis was used to analyse multiple possible predictor variables of the total incarcerated population in the U.S. to see which, if any are significant predictors.

Citation: Amato F (2021) An Analysis of Predictors of the Total Incarcerated Population in the U.S. using Regression Analysis. J Civil Legal Sci 10: 301.

Copyright: © 2021 Amato F. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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