Short Answer

Interpreting Forecast Accuracy

A weather forecasting model produces two predictions for the temperature on a specific future day. The first prediction, made on Monday, is represented as y^i+4\hat{y}_{i+4}. The second prediction for the same day, made on Wednesday, is represented as y^j+2\hat{y}_{j+2}. Assuming the model has access to more relevant information as the target day approaches, which prediction (y^i+4\hat{y}_{i+4} or y^j+2\hat{y}_{j+2}) is likely to be more accurate? Explain your reasoning by referencing the components of the notation.

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Updated 2025-10-08

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