a) Define PVA97NK as a data source in SAS Enterprise Miner. Use the Advanced Metadata Advisor options to customize the following: - Change the Class Levels Count Threshold from 20 to 5. - Change the Reject Levels Count Threshold from 20 to 80. - Reject the variable TargetD. b) Create a new diagram and transform the R,F, and M variables as described previously to create four bins of each variable. Concatenate them to create an RFM variable. c) Explore the data and perform graphical RFM analysis using a grouped pie chart and a stacked bar chart. d) Calculate response rate for 040404 and 030303 group? e) Each promotional mailing (request for a gift) costs $2.3, and the average donation is about $2.1 What is the break-even response rate for this promotion? Do any RFM cells exceed this response rate? Remember to account for the fact that in the population, 95% of mailings are not responded to, while this sample is oversampled to 50% responders and 50% non-responders