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Graduation Rates. Refer to Problems 11 and 12 .

a. Find the predicted graduation rate for a university that has a student-to-faculty ratio of 17 .

b. Find a 95 % prediction interval for the graduation rate of a university that has a student-to-faculty ratio of 17 .

c. Explain why the prediction interval in part (b) is wider than the confidence interval in Problem 15 (b).

Short Answer

Expert verified

Part a)The predicted graduation rate for a university that has a student-tofaculty ratio of 17 is 50.89

Part b)The graduation rate of a university that has a student-to-faculty ratio of 17 lies between 23.53 % and 78.25 %

Part c)The confidence interval and the prediction interval are centered at the predicted value for student-to-faculty of 17

Step by step solution

01

Step 1:Given information

02

Step 2:Explaination Part a)

Find the predicted graduation rate for a university that has a student-to-faculty ratio of 17 by using MINITAB.

MINITAB procedure:

Step 1: Choose Stat > Regression > Regression.

Step 2: In Response, enter the columnGRADRATE.

Step 3: InPredictors, enter the columns SF RATIO.

Step 4: InOptions, enter 17 under Prediction interval for new observations.

Step 5: In Confidence Level, enter 95 .

Step 6: In Storage, Choose Fits, Confidence limits, SEs of fits, and Prediction limits.

Step 7: Click OK.

MINITAB output:

Predicted Values for New Observations

From the MINITAB output, the predicted graduation rate for a university that has a student-tofaculty ratio of 17 is 50.89

03

Step 2:EXplaination Part b)

Find a 95 % prediction interval for the graduation rate of a university that has a student-to-faculty ratio of 17 by using MINITAB.

From the MINITAB output in part (a), the 95 % prediction interval for the graduation rate of a university that has a student-to-faculty ratio of 17 is (23.53,78.25)

Interpretation:

There is 95 % certain that the graduation rate of a university that has a student-to-faculty ratio of 17 lies between 23.53 % and 78.25 %

04

Step 2:Explaination Part c)

The prediction interval in part (b) is wider than the confidence interval because the prediction interval is more helpful to forecast the future observation but the confidence interval estimates the parameter. Moreover, the confidence interval and the prediction interval are centered at the predicted value for student-to-faculty of 17 .

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Most popular questions from this chapter

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether your can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b) - (h).
b. Determine and interpret a point estimate for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
c. Find and interpret a 95% confidence interval for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
d. Determine and interpret the predicted value of the response variable corresponding to the specified value of the predictor variable.
e. Find and interpret a 95% prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.
f. Compare and discuss the differences between the confidence interval that you obtained in part (c) and the prediction interval that you obtained in part (e).

14.103 High and Low Temperature. The data from Exercise 14.31for average high and low temperatures in January of a random sample, of 50cities are on the WeissStats site. Specified value of the predictor variable: 55°F.

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether your can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b) - (h).
b. Determine and interpret a point estimate for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
c. Find and interpret a 95%Te confidence interval for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
d. Determine and interpret the predicted value of the response variable corresponding to the specified value of the predictor variable.
e. Find and interpret a 95%prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.
f. Compare and discuss the differences between the confidence interval that you obtained in part (c) and the prediction interval that you obtained in part (e).

14.10 PCBs and Pelicans. The data from Exercise 14.40for shell thickness and concentration of PCBs of 60Anacapa pelican eggs are on the WeissStats site. Specified value of the predictor variable: 220ppm.

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Gas Guzzlers. Use the data on the WeissStats site for gas mileage and engine displacement for 121 vehicles referred to in Exercise 14.41.

The data from Exercise 14.43 for volume, in cubic feet, and diameter at breast height, in inches, for 70 shortleaf pines are on the WeissStats site.

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