An entrepreneur wants to start a boutique cupcake business based on family recipes shared for three generations. The entrepreneur knows the required costs associated with rent, supplies, utilities, and hourly wages and wants to determine how many cupcakes they need to sell to generate a profit. Which technique should be used to analyze this data?

Regression analysis is used to identify relationships between variables, often predicting outcomes based on historical data. While it can provide insights into sales trends or customer preferences, it does not directly address the entrepreneur's need to calculate the specific sales volume required to cover costs and achieve profitability.

A t-test is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. This technique is not applicable in this scenario, as the entrepreneur is not comparing two sets of data but rather needs to assess cost and sales figures to establish a profit margin.

Crossover analysis is typically used to compare and evaluate the performance of different investments or projects over time. In this context, it does not address the entrepreneur's immediate need to calculate sales volume for profitability and is therefore not suitable for their objectives.