Looking at the below cluster analysis from SAS. How would you interpret the information contained and analyze all the quantitative variables?

Clustering algorithm converged. Cluster Summary for 4 Cluetere Clucter Vorlation Proportion debond Cluster Members Variation Explained Explained Elgenvalue 3.418351 0.6837 0.9578 2 2 1.587941 0.7940 0.4121 1.041299 0.5206 0.9587 1.0000 Total variation explained = 7.047681 Proportion = 0.7048 4 Cluctere R-cqusred with OW Nox 1-8 2 Clucter Variable Cluster Closest Ratio Clucter 1 campaign 0.0692 0.0071 0.9475 amp.var.rate 0.9779 0.1481 0.0250 comE prise.Idx 0.5894 0.0157 0.4172 suriborim 0.9060 0. 1820 0.0538 nr.employed 1.8358 0.2533 0.2200 Cluctor 2 pdays 0.7940 D.OBOT 0.2241 previous 0.7940 0.1872 0.2536 Cluctor S 0.5206 0.0096 0.4840 duration 0.5206 0.0017 0.4802 Clucter 4 cons.oonf.Idx 1.0000 0.0306 0.0DOO Standardized Scoring Costlolents Clucter 0.00000 0.00000 0.69284 0 00000 duration 0.00000 0.00000 0.69294 0.00000 campaign 0.07120 0.60000 0.00000 0.00000 pdays 0.00000 0.56 114 0.00000 0.00000 Previous 0.00000 -0.56 114 0.0000O 0.00000 emp.var.rate 1.28929 0.00000 0.00000 0.00000 gone prios Idx 0.22459 0.60000 0.00000 0.00000 oone.cont.idx 0.00000 0.00000 0.00000 1.00000 Buriborsm 0.28603 0.00000 0.00000 0.00000 ncemployed 0.26744 0.00000 0.00000 0.00000 Cluster Structure Cluster 1 2 0.02218 -0.04296 0.72156 0.09814 duration 0.03175 -0.04081 0.72156 -0.03474 campaign 0.24338 0.08430 -0.06896 0.00788 pdaye 0.28401 0.85106 -0.06256 -0.09209 previous 0.43262 -0.89106 0.05312 -0.05142 amp.var.rate 098891 0.38490 -0.03329 0. 19602 cont. price.kdx 0.76773 0.12536 0.01122 0.04583 cont.conf.Idx 0.17502 -0.02282 0.04393 1.00000 gurlborim 0.97776 0.42566 -0.03282 0.276GO nr.employed 0.91419 0.50325 -0.05970 0.10705 Inter-Clucter Correlatione Cluster 2 1.00000 0.40213 0.03737 0.17502 0.40213 1.00000 -0.06497 0.02282 0.03737 1.00000 0.04353 0.17502 -0.02282 0.04393 1.00000 No olucter meets the oriterion for splitting. Proportion Minimum Maximum Maximum Variation Proportion Bebond Minimum 1-R+2 Number Explained Variation Explained Eigenvalue R-equared Radio By Explained by a In s for for a Cluctore Cluctore by Clusters Cluster Cluster Variable Variable 3.859708 1 3860 0.3860 1.370822 0.0014 2 5.05 1626 1 5062 0.4002 1.028936 0.0137 0.9874 6.030264 0.6030 0.520 1.011540 0.0673 05495 7.047591 0. 7048 0.5205 0.968701 10682 09475Cluster Analysis cons.confide nr.employed- auriborim cons price idx emp var rate campaign duration age previous pdays 1.0 0.6 04 Proportion of Variance Explained