Question: When combining predictions from multiple methods by averaging, when will the gain be largest, compared to using a single method: when the prediction errors from

When combining predictions from multiple methods by averaging, when will the gain be largest, compared to using a single method: when the prediction errors from the different methods are uncorrelated, positively correlated, or negatively correlated? Explain.

Can you construct a small numerical example demonstrating your answer?

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