Sol & Nieve is a sporting good and outdoor gear retailer that operates in North America and Central America. In an attempt to characterize its stores (and re-assess Sol & Nieve's supply chain operations), Gustavo Esposito is analyzing sales in 22 regions for its two primary product lines: sol (beach-oriented apparel) and nieve (mountain-oriented apparel). Gustavo has generated the following output for k-means clustering for k = 2, 3, 4 (output reported in standardized units).k = 2 Inter-Cluster Distances Cluster 1 Cluster 2 Cluster 1 0 2.215 Cluster 2 2.215 0 Within-Cluster Summary Centroid (Original Units) Size Average Distance Sol Nieve Cluster 1 11 0.655 25.148 6.695 Cluster 2 11 0.685 6.340 25.276 k = 3 Inter-Cluster Distances Cluster 1 Cluster 2 Cluster 3 Cluster 1 0 4.603 1.977 Cluster 2 4.603 0 3.076 Cluster 3 1.977 3.076 0 Within-Cluster Summary Centroid (Original Units) Size Average Distance Sol Nieve Cluster 1 11 0.655 25.148 6.695 Cluster 2 0 6.500 60.000 Cluster 3 10 0.154 6.324 22.932 k = 4 Inter-Cluster Distances Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 1 0 4.458 3.060 6.064 Cluster 2 4.458 0 1.728 3.076 Cluster 3 3.060 1.728 0 4.457 Cluster 4 6.064 3.076 4.457 0 Within-Cluster Summary Centroid (Original Units) Size Average Distance Sol Nieve Cluster 1 1 0 60.000 6.500 Cluster 2 10 0.154 6.324 22.932 Cluster 3 10 0.120 20.099 6.715 Cluster 4 1 0 6.500 60.000Which value of k is the most appropriate for these data? - Select your answer - v is the most appropriate for the data. How should Gustavo interpret the results to characterize the clusters? The input in the box below will not be graded, but may be reviewed and considered by your instructor.