Suppose we create a model, where log(Y) represents the natural log of Y. Question18Model <- lm( log(Y) ~ X Group Location Segment ) Suppose that this model fits the data and satisfies all assumptions of linear regression models. We create a new data set called NewData18 where X = 10, Group = A, Location = Michigan, and Segment = Consumer. We then use the command predict(Question18Model, newdata=NewData18, interval="prediction", level=0.95) And we obtain the output below with fit = 3, lwr = 2, and upr = 4. We can conclude that 95% of individuals in the consumer segment and in group A who are in Michigan with X=10 will have a Y-value is between