Question: k-nearest neighbors and regression trees are methods that can be used to predict numeric outcomes. Both tend to outperform linear regression for very large data

k-nearest neighbors and regression trees are methods that can be used to predict numeric outcomes. Both tend to outperform linear regression for very large data sets.

Explain one specific advantage that these methods have over linear regression.

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