Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN: 9781305627734
Author: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher: Cengage Learning
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Chapter 7, Problem 17P
A sample containing years to maturity and (percent) yield for 40 corporate bonds is contained in the file named CorporateBonds (Barron’s, April 2. 2012).
- a. Develop a scatter chart of the data using years to maturity as the independent variable. Does a simple linear regression model appear to be appropriate?
- b. Develop an estimated quadratic regression equation with years to maturity and squared values of years to maturity as the independent variables. How much variation in the sample values of yield is explained by this regression model? Test the relationship between each of the independent variables and the dependent variable at a 0.05 level of significance. How would you interpret this model?
- c. Create a plot of the linear and quadratic regression lines overlaid on the scatter chart of years to maturity and yield. Does this helps you better understand the difference in how the quadratic regression model and a simple linear regression model fit the sample data? Which model does this chart suggest provides a superior fit to the sample data?
- d. What other independent variables could you include in your regression model to explain more variation in yield?
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The regional transit authority for a major metropolitan area wants to determine whetherthere is a relationship between the age of a bus and the annual maintenance cost. A sampleof ten buses resulted in the following data:
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Mileage, x
(in thousands)
(in thousands of
dollars)
25.9
26.1
28.1
26.2
40-
21.1
31.4
24.0
27.5
35
27.2
30.9
38.7
21.4
30.
34.6
25.5
37.2
23.5
15.6
34.0
25-
23.8
28.0
20.9
30.9
20.
23.1
32.7
28.0
30.3
40
29.2
28.1
Figure 1
24.0
29.6
23.0
31.5
Send data to Excel
find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. In each case, there is sujficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions.
Altitude and Temperature Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded by the author during Delta Flight 1053 from New Orleans to Atlanta. For the prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet).
Chapter 7 Solutions
Essentials of Business Analytics (MindTap Course List)
Ch. 7 - Bicycling World, a magazine devoted to cycling,...Ch. 7 - In a manufacturing process the assembly line speed...Ch. 7 - Jensen Tire Auto is deciding whether to purchase...Ch. 7 - A sociologist was hired by a large city hospital...Ch. 7 - The regional transit authority for a major...Ch. 7 - A marketing professor at Givens College is...Ch. 7 - The Dow Jones Industrial Average (DJIA) and the...Ch. 7 - The Toyota Camry is one of the best-selling cars...Ch. 7 - Dixie Showtime Movie Theaters, Inc., owns and...Ch. 7 - Prob. 10P
Ch. 7 - The American Association of Individual Investors...Ch. 7 - The National Football League (NFL) records a...Ch. 7 - Johnson Filtration. Inc., provides maintenance...Ch. 7 - A study investigated the relationship between...Ch. 7 - The U.S. Department of Energys Fuel Economy Guide...Ch. 7 - A highway department is studying the relationship...Ch. 7 - A sample containing years to maturity and...Ch. 7 - In 2011, home prices and mortgage rates fell so...Ch. 7 - A recent 10-year study conducted by a research...Ch. 7 - The Scholastic Aptitude Test (or SAT) is a...Ch. 7 - Consider again the example introduced in Section...Ch. 7 - Alumni donations are an important source of...
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