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Open the Census JMP table and study it. Perform K-Means Clustering using the fields Income, House Value, Foreign Born (%), and No HS Diploma (%)

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Open the Census JMP table and study it. Perform K-Means Clustering using the fields "Income", "House Value", "Foreign Born (\%)", and "No HS Diploma (\%)" as [Y, Columns ]. Specify 2 and 5 as the Number of Clusters and Range of Clusters respectively. Enter an int-ger, unless otherwise specified, to complete the following sentences: 1. The value of the optimal CCC is (rounded to 2 decimal places). 2. The number of clusters corresponding to the optimal CCC is 3. There are members in the cluster that has the most number of members. 4. There are members in the cluster that has the least number of members. 5. The highest average "House Value" among the clusters is (rounded to 2 decimal places). 6. The lowest average "No HS Diploma (\%)" among the clusters is (rounded to 2 decimal places). Open the Census JMP table and study it. Perform K-Means Clustering using the fields "Income", "House Value", "Foreign Born (\%)", and "No HS Diploma (\%)" as [Y, Columns ]. Specify 2 and 5 as the Number of Clusters and Range of Clusters respectively. Enter an int-ger, unless otherwise specified, to complete the following sentences: 1. The value of the optimal CCC is (rounded to 2 decimal places). 2. The number of clusters corresponding to the optimal CCC is 3. There are members in the cluster that has the most number of members. 4. There are members in the cluster that has the least number of members. 5. The highest average "House Value" among the clusters is (rounded to 2 decimal places). 6. The lowest average "No HS Diploma (\%)" among the clusters is (rounded to 2 decimal places)

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