A website that rents movies online recorded the age and the number of movies rented during the past month for some of their customers. The data are shown below and the best fitting regression line has bo 19.864 and b₁ = -0.277. a) Use the estimated regression equation to predict Rentals for all six values of Age. b) Find the residuals e;. c) Calculate the residual standard deviation, s. Age Rentals 30 11 44 8 51 5 67 1 a) Input the predicted values for Rentals below. Age 30 44 51 7.68 5.74 Rentals 11.55 (Round to two decimal places as needed.) 42 10 67 1.31 b) Input the values for the residuals below. Age 44 51 30 Residual -0.55 0.32 (Round to two decimal places as needed.) -0.74 c) What is the residual standard deviation? Se = 1.059 (Round to three decimal places as needed.) 67 -0.31 30 D 11 42 8.23 42 1.77 30 11.55 30 -0.55

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A website that rents movies online recorded the age and the number of movies rented during the past month for some of their customers. The data are shown below and the best fitting regression
line has bo = 19.864 and b₁ = -0.277.
a) Use the estimated regression equation to predict Rentals for all six values of Age.
b) Find the residuals e₁.
c) Calculate the residual standard deviation, s.
Age
Rentals
30
11
44
8
51
5
67
1
a) Input the predicted values for Rentals below.
Age
30
44
51
Rentals
11.55 7.68 5.74
(Round to two decimal places as needed.)
42
10
67
1.31
b) Input the values for the residuals below.
Age
30
44
Residual -0.55 0.32
(Round to two decimal places as needed.)
51
-0.74
c) What is the residual standard deviation?
Se = 1.059 (Round to three decimal places as needed.)
67
-0.31
30 D
11
42
8.23
42
1.77
30
11.55
30
-0.55
Transcribed Image Text:A website that rents movies online recorded the age and the number of movies rented during the past month for some of their customers. The data are shown below and the best fitting regression line has bo = 19.864 and b₁ = -0.277. a) Use the estimated regression equation to predict Rentals for all six values of Age. b) Find the residuals e₁. c) Calculate the residual standard deviation, s. Age Rentals 30 11 44 8 51 5 67 1 a) Input the predicted values for Rentals below. Age 30 44 51 Rentals 11.55 7.68 5.74 (Round to two decimal places as needed.) 42 10 67 1.31 b) Input the values for the residuals below. Age 30 44 Residual -0.55 0.32 (Round to two decimal places as needed.) 51 -0.74 c) What is the residual standard deviation? Se = 1.059 (Round to three decimal places as needed.) 67 -0.31 30 D 11 42 8.23 42 1.77 30 11.55 30 -0.55
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