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Regression Analysis for Urban Crime: The Chicago Model

Author

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  • Saradindu Dolui

    (Capitol Technology University, 11301 Springfield Rd, Laurel, MD, 20708, USA. Author-2-Name: Leila Halawi Author-2-Workplace-Name: Embry‑Riddle Aeronautical University, 1 Aerospace Boulevard, Daytona Beach, FL, 32114, USA. Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

" Objective - This study aims to analyze crime dynamics in Chicago by examining the predictive relationship between crime categories and arrest frequencies using regression analysis. Methodology - A quantitative research design was applied using secondary data from the Chicago Data Portal. Regression analysis was performed to evaluate how crime categories predict arrest patterns. Findings - The results reveal a strong, positive, and statistically significant relationship between crime categories and arrest frequencies (R² = 0.613, β = 0.783, p

Suggested Citation

  • Saradindu Dolui, 2026. "Regression Analysis for Urban Crime: The Chicago Model," GATR Journals jber270, Global Academy of Training and Research (GATR) Enterprise.
    • Handle: RePEc:gtr:gatrjs:jber270
    DOI: https://doi.org/10.35609/jber.2026.10.4(3)
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    Keywords

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • Z39 - Other Special Topics - - Tourism Economics - - - Other
    • Z19 - Other Special Topics - - Cultural Economics - - - Other

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