Prediction intervals are ranges that provide a likely span of values for a future observation based on a statistical model. They are crucial for understanding the uncertainty associated with forecasts, helping decision-makers gauge the potential variability in outcomes. This concept ties directly into the overall forecasting process and is essential for effectively communicating the level of uncertainty present in any forecasted data.
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