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ABSTRACT
The analysis begins by ensuring data quality and completeness, with 138 valid observations for the credit score variable. It then examines the distribution of credit scores by history, with most cases having a "Bad Credit History." Gender and credit score variables are both clean and complete for all 138 cases. A crosstabulation of gender and credit score reveals no significant association. A logistic regression model is built, but only one variable, "Loan from ACCESS Bank PLC," is found to be statistically significant. Stepwise logistic regression doesn't improve the model fit, suggesting a need for adjustments or alternative approaches.
