There are five questions

1.  Download the dataset “Storedata.csv” from the midterm section on Canvas.  This dataset contains sales data from a department store.  Available information includes: Order ID, Order Date, Shipping method, Customer ID, Customer Segment, City, State, Region, Category of item sold, Sales totals, Quantity ordered, Discount (given as a decimal percent), Return (a binary variable indicating if the product was returned, the Profit from each order, and the Profit given as a percentage of sales. 

a. Create a model to estimate Profit using the Segment, the sales Region, the Category of product, and the Discount.  Describe this model – what is its predictive power, and is this model statistically sound? Do you think that this is a good model?  Why or why not?