Crime in India : A Regression Analysis of Predictive Factors

Abstract

The present study is about regression analysis which has the aim of & ldquo; find the crime rate in future through regression analysis;. Regression analysis Is widely used for prediction and forecasting. It is nothing but a inferential statistical method that shows the relationship between two or more variable. We will determine the crime rate through previous crime records (dataset). This regression analysis explores the relationship between various socio-economic and demographic factors and crime rates within a specific geographic area. The study utilizes the dataset containing information on factors such as income levels, education unemployment rates, population density, and law enforcement resources. The primary objective is to assess the extent to which these independent variables impact the dependent variable, which is the crime rate. The findings of this regression analysis provide valuable information for designing targeted interventions, allocating resources effectively, and developing policies Armatrading crime rates and improving overall community safety. Additionally, the study underscores the importance of considering various socio- economic and demographic factors when assessing and addressing the complex issue of crime within a specific geographic area.