Suppose we create a model below, where sqrt(Y) represents the square root of Y, and log(X) represents the natural log of X. Question19Model <- lm( sqrt(Y) ~ log(X) + Group) Suppose that this model fits the data and satisfies all assumptions of linear regression models. We create a new data set called NewData19 where X = 10 and Group = A. We then use the command predict(Question19Model, newdata=NewData=19, interval="prediction", level=0.95) And we obtain the output below with fit = 6.5, lwr = 4, and upr = 9. We can conclude that for individuals in group A with X=10, there is a 95% chance that their Y-value is between blank1 - Numeric