A prediction interval is a range of values that is likely to contain the value of a new observation based on a statistical model, specifically in the context of regression analysis. It provides an estimate of where future data points will fall, taking into account the uncertainty associated with predictions. This interval accounts for both the variability of the data and the error in the prediction, allowing for a more nuanced understanding of potential outcomes.
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