Create a model to estimate Profit using the Segment, the sales Region, the Category of product, and the Discount.

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?