This report employs regression analysis to explore the relationship between annual income, household size, and credit card charges using data from Consumer Research, Inc. The analysis reveals that while annual income alone does not significantly correlate with credit card charges, household size does show a significant relationship. Furthermore, a multiple regression model combining both annual income and household size indicates a significant combined effect on credit card charges. The report suggests incorporating additional independent variables, such as shopping patterns, to enhance the model's predictive power. The conclusion emphasizes the utility of quantitative methods in analyzing data and drawing meaningful conclusions for businesses and researchers. Desklib provides access to similar solved assignments and study resources for students.