With reference to Exercise 78, use the result of part (b) of Exercise 40 to construct 98% limits of prediction for the average weekly net profit of a restaurant with a seating capacity of 210 at a location where the daily traffic count averages 14,000 cars.
Exercise 78
The following are data on the average weekly profits (in $1,000) of five restaurants, their seating capacities, and the average daily traffic (in thousands of cars) that passes their locations:
(a) Assuming that the regression is linear, estimate β0, β1, and β2.
(b) Use the results of part (a) to predict the average weekly net profit of a restaurant with a seating capacity of 210 at a location where the daily traffic count averages 14,000 cars
Exercise 40
With x01, x02, ... , x0k and X0 as defined in Exercise 39 and Y0 being a random variable that has a normal distribution with the mean β0 + β1x01 +···+ βkx0k and the variance σ2, it can be shown that
is a value of a random variable having the t distribution with n - k - 1 degrees of freedom.
(a) Show that for k = 1 this statistic is equivalent to the one of Exercise 25.
(b) Derive a formula for (1 - α)100% limits of prediction for a future observation of Y0.
Exercise 25
Use the results of Exercises 20 and 21 and the fact that
is a random variable having a normal distribution with zero mean and the variance
Exercises 20
Under the assumptions of normal regression analysis, show that
(a) the least squares estimate of α in Theorem 2 can be written in the form
(b) has a normal distribution with
Theorem 2
Exercises 21
This question has been intentionally omitted for this edition.