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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. a. Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure, and specify complete linkage as the clustering method. Analyze the resulting clusters by computing the cluster size. It may be helpful to use a PivotTable on the data in the HC_Clusters worksheet generated by XLMiner. You can also visualize the clusters by creating a scatter plot with Acre as the x-variable and Price ($) as the y-variable. b. Repeat part a using average group linkage as the clustering method. Compare the clusters to the previous method.
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. a. Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure, and specify complete linkage as the clustering method. Analyze the resulting clusters by computing the cluster size. It may be helpful to use a PivotTable on the data in the HC_Clusters worksheet generated by XLMiner. You can also visualize the clusters by creating a scatter plot with Acre as the x-variable and Price ($) as the y-variable. b. Repeat part a using average group linkage as the clustering method. Compare the clusters to the previous method.
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. a. Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure, and specify complete linkage as the clustering method. Analyze the resulting clusters by computing the cluster size. It may be helpful to use a PivotTable on the data in the HC_Clusters worksheet generated by XLMiner. You can also visualize the clusters by creating a scatter plot with Acre as the x-variable and Price ($) as the y-variable. b. Repeat part a using average group linkage as the clustering method. Compare the clusters to the previous method.
a. Apply hierarchical clustering with 10 clusters using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data in Step 2 of the XLMiner Hierarchical Clustering procedure, and specify complete linkage as the clustering method. Analyze the resulting clusters by computing the cluster size. It may be helpful to use a PivotTable on the data in the HC_Clusters worksheet generated by XLMiner. You can also visualize the clusters by creating a scatter plot with Acre as the x-variable and Price ($) as the y-variable.
b. Repeat part a using average group linkage as the clustering method. Compare the clusters to the previous method.

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a. Complete linkage results in clusters ...

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