Residuals Versus EDUC Residuals Versus AGE (rosponse is INCOME) (responee is INCOME) 10- 10 -10- -10 20 20 10 15 20 40 50 EDUC (a) AGE (b) Residuals Versus the Fitted Values Normal Probability Plot of the Residuals (response is INCOME) (reeponse is INCOME) 25 20- 10 1.5- 1.0 0.5- 0.0 -0.5- 1.0- -10- -15- -2.0- -25 -20 10 10 -10 20 40 50 60 70 Residual Fitted Value (4) (c) jenpisoy jenpreou Normal Score Residual

Question

Graduation Rates. Refer to Exercise A.45. Use the technology of your choice to do the following.

a. Obtain the scatterplot matrix for the data.

b. Use the scatterplot matrix to assess whether a multiple linear regression model might be appropriate for predicting graduation rate.

c. Determine the regression equation for the data.

d. Apply the regression equation to predict the graduation rate at a school where the student-to-faculty ratio is 18 to 1, 70% of the freshmen were in the top 10% of their high-school class, and 75% of the applicants are accepted. (The values of the predictor variables are 18, 70, and 75, respectively.)

Residuals Versus EDUC
Residuals Versus AGE
(rosponse is INCOME)
(responee is INCOME)
10-
10
-10-
-10
20
20
10
15
20
40
50
EDUC
(a)
AGE
(b)
Residuals Versus the Fitted Values
Normal Probability Plot of the Residuals
(response is INCOME)
(reeponse is INCOME)
25
20-
10
1.5-
1.0
0.5-
0.0
-0.5-
1.0-
-10-
-15-
-2.0-
-25
-20
10
10
-10
20
40
50
60
70
Residual
Fitted Value
(4)
(c)
jenpisoy
jenpreou
Normal Score
Residual

Image Transcription

Residuals Versus EDUC Residuals Versus AGE (rosponse is INCOME) (responee is INCOME) 10- 10 -10- -10 20 20 10 15 20 40 50 EDUC (a) AGE (b) Residuals Versus the Fitted Values Normal Probability Plot of the Residuals (response is INCOME) (reeponse is INCOME) 25 20- 10 1.5- 1.0 0.5- 0.0 -0.5- 1.0- -10- -15- -2.0- -25 -20 10 10 -10 20 40 50 60 70 Residual Fitted Value (4) (c) jenpisoy jenpreou Normal Score Residual

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