1. The problem involves categorizing data based on age groups and income levels, and analyzing dependent variables: satisfaction score, total spending, and purchase frequency. 2. Age groups are defined as: - Young: age $< 30$ - Middle age: $30 \leq \text{age} \leq 50$ - Older: age $> 50$ 3. Income levels are defined as: - Low: income $< 40000$ - Medium: $40000 \leq \text{income} \leq 80000$ - High: income $> 80000$ 4. Dependent variables to analyze are satisfaction score, total spending, and purchase frequency. 5. To analyze these, one can use statistical methods such as: - Grouping data by age and income categories. - Calculating mean or median satisfaction score, total spending, and purchase frequency for each group. - Using ANOVA or regression analysis to determine if differences between groups are statistically significant. 6. This approach helps understand how age and income influence customer satisfaction and spending behavior. Final answer: Categorize data by the given age and income groups, then analyze the dependent variables using appropriate statistical methods to find patterns or significant differences.