An advantage of working with a clustering method like hierarchical clustering is that you can describe the relationships between your observations based on both the **distance metric** and the **linkage metric** selected (the combination of which defines the height of the tree).

**Based on the code below what can you concretely say about the height of a branch in the resulting dendrogram?**

`dist_players <- dist(lineup, method = 'euclidean')`

`hc_players <- hclust(dist_players, method = 'single')`

`plot(hc_players)`

**All of the observations linked by this branch must have:**

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