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To Examine the Local Housing Market in a Particular Region

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To examine the local housing market in a particular region, a sample of 120 homes sold during a year are collected. The data is given below.
To examine the local housing market in a particular region, a sample of 120 homes sold during a year are collected. The data is given below.             Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure. Use Ward's method as the clustering method. a. Use a PivotTable on the data in the HC_Clusters1 worksheet to compute the cluster centers for the clusters in the hierarchical clustering. b. Identify the cluster with the largest average price. Using all the variables, how would you characterize this cluster? c. Identify the smallest cluster.
To examine the local housing market in a particular region, a sample of 120 homes sold during a year are collected. The data is given below.             Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure. Use Ward's method as the clustering method. a. Use a PivotTable on the data in the HC_Clusters1 worksheet to compute the cluster centers for the clusters in the hierarchical clustering. b. Identify the cluster with the largest average price. Using all the variables, how would you characterize this cluster? c. Identify the smallest cluster.
To examine the local housing market in a particular region, a sample of 120 homes sold during a year are collected. The data is given below.             Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure. Use Ward's method as the clustering method. a. Use a PivotTable on the data in the HC_Clusters1 worksheet to compute the cluster centers for the clusters in the hierarchical clustering. b. Identify the cluster with the largest average price. Using all the variables, how would you characterize this cluster? c. Identify the smallest cluster.
Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure. Use Ward's method as the clustering method. a. Use a PivotTable on the data in the HC_Clusters1 worksheet to compute the cluster centers for the clusters in the hierarchical clustering.
b. Identify the cluster with the largest average price. Using all the variables, how would you characterize this cluster?
c. Identify the smallest cluster.


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