Final answer:
The most appropriate method to analyze the data and identify the area with the highest-spending customers is unsupervised analysis, which can use clustering or association rules to group customers based on their spending behavior and identify patterns. Therefore correct option is C
Step-by-step explanation:
The question asks which statistical method would be most appropriate to analyze the data and identify the area around the restaurant that contains customers who spend the most when using the coupon. The correct answer is unsupervised analysis.
Unsupervised analysis is used to identify patterns and relationships in data without any prior knowledge or labeled examples. In this case, the restaurant has past data on customer spending, but does not have any specific labels or categories to classify the data. By using unsupervised analysis techniques such as clustering or association rules, the restaurant can group customers based on their spending behavior and identify the area with the highest-spending customers.
For example, they could use clustering to group customers based on their total spending when using the coupon, and then analyze the clusters to find the area with the highest average spending. Alternatively, they could use association rules to identify patterns between customer characteristics (such as age, income, or location) and their spending behavior.