If we give a prediction interval for one home whose size is 2000 ft2,
A prediction interval is an estimate of the range within which a future observation will fall, with a particular probability, given what has already been observed, in statistical inference, more especially predictive inference. In regression analysis, prediction intervals are frequently utilized.
Both frequentist and Bayesian statistics use prediction intervals; a prediction interval and a frequentist confidence interval or a Bayesian credible interval relate to an unobservable population parameter in the same way that prediction intervals predict the distribution of individual future points and confidence intervals and credible intervals of parameters predict the distribution of estimates of the true population
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