A prediction interval is a range of values that is used to estimate the possible values of a future observation based on a statistical model. This interval provides an estimate of uncertainty for individual predictions, taking into account both the variability of the data and the estimation error in the underlying model. It differs from a confidence interval, which estimates the range for a population parameter, as a prediction interval is more focused on individual future observations.
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