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

For two variables satisfying Assumptions 1-3 for regression inferences, the population regression equation is y=20-3.5x. For samples of size 10 and given values of the predictor variable, the distribution of slopes of all possible sample regression lines is a --------distribution with mean------- .

Fill in the blanks.

a. The line y=β0+β1xis called the ____

b. The common conditional standard deviation of the response variable is denoted _____

c. For x=6, the conditional distribution of the response variable is a____ distribution having mean___ and standard deviation____.

In this Exercise 14.52, we repeat the information from Exercise 14.16.

a. Decide, at the 10%significance level, whether the data provide sufficient evidence to conclude that xis useful for predicting y:

b. Find a 90%confidence interval for the slope of the population regression line.

x1344y13-135 y^=14-3x

(a) Decide, at the 10%significance level, whether the data provide sufficient evidence to conclude that xis useful for predicting y:

(b) Find a 90%confidence interval for the slope of the population regression line.

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether you 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 a95% 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).
14.100 Movie Grosses. The data from Exercise 14.36 on domestic and overseas grosses for a random sample of 50 movies are on the WeissStats site. Specified value of the predictor variable: S 100 million.

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