Statistical Analysis

The appropriate model will be developed to predict how much a customer will spend at your business. This development will include the following:

• Performing the appropriate statistical regression modelling techniques—in this case, a multiple regression statistical model.
• Determining which data attributes provided are predictive.
• Interpreting the model output.
• Providing the formula from the statistical model that can be used to predict what a customer will spend.
• Students will design, interpret, and provide the statistical regression model for your business to predict customer spend.

Financial Business Plan

• Sales forecasting
• Expense budget
• Income projections (conservative and aggressive)
• Assets and liabilities
• Break-even analysis
• Future recommendations

Financial Risk Analysis

• Application of mathematical/statistical analysis and computing methods to analyze data.
• Estimation of the volatility, correlation for returns, forward contracts, and industry-specific futures.
• Presenting findings on market risk exposure and provide recommendations.
• By using private (provided by your organization) and publicly available data on industry-specific derivatives, students will also perform a sensitivity analysis to identify the reliability of risk estimates.