Suppose we create a model below, where sqrt(X) represents the square root of X. Question20Model <- lm(Y ~ sqrt(X) + Location) Suppose that this model fits the data and satisfies all assumptions of linear regression models. We create a new data set called NewData20 where X = 10000 and Location=New York We then use the command predict(Question20Model, newdata=NewData20, interval="prediction", level=0.95) And we obtain the output below with fit = 6.5, lwr = 4, and upr = 9. We can conclude that 95% of individuals in New York with X=10000, will have a Y-value is between blank1 - Numeric Answer Type your answer here and blank2 - Numeric Answer Type your answer here . Be sure to write the smaller number in the first space and the larger number in the second space