A prediction interval is a range of values that is likely to contain the value of a new observation based on a statistical model. It provides an estimate of uncertainty around the predicted value and takes into account both the variability of the data and the inherent error in the prediction. The width of the prediction interval reflects the level of confidence in the prediction, with wider intervals indicating more uncertainty about the future observation.
congrats on reading the definition of Prediction Interval. now let's actually learn it.