Chapter 12: Q1E (page 722)
Question: Write a first-order model relating to
- Two quantitative independent variables.
- Four quantitative independent variables.
- Five quantitative independent variables.
Short Answer
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Chapter 12: Q1E (page 722)
Question: Write a first-order model relating to
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Question:Suppose you fit the first-order model to n=30 data points and obtain SSE = 0.33 and
(A) Do the values of SSE and suggest that the model provides a good fit to the data? Explain.
(B) Is the model of any use in predicting Y ? Test the null hypothesis against the alternative hypothesis at least one of the parameters is non zero.Use .
Cooling method for gas turbines. Refer to the Journal of Engineering for Gas Turbines and Power (January 2005) study of a high-pressure inlet fogging method for a gas turbine engine, Exercise 12.19 (p. 726). Recall that you fit a first-order model for heat rate (y) as a function of speed (x1) , inlet temperature (x2) , exhaust temperature (x3) , cycle pressure ratio (x4) , and airflow rate (x5) . A Minitab printout with both a 95% confidence interval for E(y) and prediction interval for y for selected values of the x’s is shown below.
a. Interpret the 95% prediction interval for y in the words of the problem.
b. Interpret the 95% confidence interval forE(y)in the words of the problem.
c. Will the confidence interval for E(y) always be narrower than the prediction interval for y? Explain.
Question: Revenues of popular movies. The Internet Movie Database (www.imdb.com) monitors the gross revenues for all major motion pictures. The table on the next page gives both the domestic (United States and Canada) and international gross revenues for a sample of 25 popular movies.

When a multiple regression model is used for estimating the mean of the dependent variable and for predicting a new value of y, which will be narrower—the confidence interval for the mean or the prediction interval for the new y-value? Why?
Question: Reality TV and cosmetic surgery. Refer to the Body Image: An International Journal of Research (March 2010) study of the impact of reality TV shows on a college student’s decision to undergo cosmetic surgery, Exercise 12.43 (p. 739). The data saved in the file were used to fit the interaction model, , where y = desire to have cosmetic surgery (25-point scale),x1= {1 if male, 0 if female}, and x4= impression of reality TV (7-point scale). From the SPSS printout (p. 739), the estimated equation is:
a. Give an estimate of the change in desire (y) for every 1-point increase in impression of reality TV show (x4) for female students.
b. Repeat part a for male students.
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