Using matching distance to compute dissimilarity between observations, apply hierarchical clustering employing group average linkage to the data in DemoKTC to create three clusters based on the Female, Married, Loan, and Mortgage variables. Refer to the Appendix for instructions on how to perform hierarchical clustering using JMP Pro. In the Columns (7/1) section on the left-hand side of the Data - JMP Pro window, click on the blue triangle next to Female and select Nominal. Repeat this step for Married, Loan, and Mortgage. In the Clustering - JMP Pro dialog box, in the Options area, in the Method section check Average, select Data as usual, and check Standardize Data. When the Data - Hierarchical Cluster JMP Pro dialog results box appears, click the red triangle next to Hierarchical Clustering, choose Number of Clusters, and enter 3. DATA file Report the characteristics of each cluster including the total number of customers in each cluster as well as the number of customers who are female, the number of customers who are married, the number of customers with a car loan, and the number of customers with a mortgage in each cluster. How would you describe each cluster? If your answer is zero enter "0". Enter your answers for cluster sizes as they appear in JMP Pro output. Cluster 1 3 Size Female Married Loans Mortgage Characteristics Select your answer Select your answer - Select your answer -