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Multiple Linear Regression: A Case Study on Insurance Redlining in Chicago
This report investigates whether racial composition influences the issuance of FAIR plan insurance policies in Chicago ZIP codes. Using multiple linear regression, the analysis controls for fire and theft rates, housing age, and income to assess the independent effect of minority population percentage on policy issuance.
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