10.9 Importance of Normal model deviations. A general form of the central limit theorem tells us that the sampling distributions of b₀ and b₁ will be approximately Normal even if the model deviations are not Normally distributed. Using this fact, explain why the Normal distribution assumption is much more important for a prediction interval than for the confidence interval of the mean response at x = x*.