Order1: Coursework - Banking Sector Creditability Analysis Report

This report presents a comprehensive analysis of creditability within the banking sector. It begins with data transformation and splitting into training and testing datasets. Descriptive statistics, including box plots and histograms, are used to explore the data. Correlation analysis reveals relationships between variables and creditability. The report further investigates the difference in creditability between male and female customers using t-tests. A logistic regression model is then developed to predict creditability, identifying significant predictors like account balance and payment status. The model's validity is assessed using the testing dataset, including pseudo-R2 and Wald statistics. The analysis highlights the importance of various factors in determining creditworthiness and provides insights into the financial aspects of the banking sector. The report utilizes the data analysis software "R" and "R-studio" for its analysis. It concludes with a discussion of the model's performance and its implications for credit risk assessment.