Chapter 11: Q2E (page 649)
Give the slope and y-intercept for each of the lines graphed in Exercise 11.1.
Short Answer
- Slope = 1, y-intercept = 0
- Slope = -1, y-intercept = 3
- Slope = 1/5, y-intercept = 6/5
- Slope = 9/8, y-intercept = 15/4
Chapter 11: Q2E (page 649)
Give the slope and y-intercept for each of the lines graphed in Exercise 11.1.
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Get started for freeState Math SAT scores. Refer to the simple linear regression relating y = 2014 Math SAT scores to x = 2010 Math SAT scores, Exercise 11.19 (p. 654). A portion of the SPSS printout of the analysis is shown below.
a. Locate the values of SSE, , and s on the SPSS printout.
b. Give a practical interpretation of the value of s.
Repair and replacement costs of water pipes. Refer to the IHS Journal of Hydraulic Engineering (September 2012) study of water pipes, Exercise 11.21 (p. 655). Refer, again, to the Minitab simple linear regression printout (p. 655) relating y = the ratio of repair to replacement cost of commercial pipe to x = the diameter (in millimeters) of the pipe.
a. Locate the value of s on the printout.
b. Give a practical interpretation of s.
Best-paid CEOs. Refer to Glassdoor Economic Research firmโs 2015 ranking of the 40 best-paid CEOs in Table 2.1 (p. 65). Recall that data were collected on a CEOโs age and ratio of salary to a typical workerโs pay at the firm. One objective is to predict the ratio of salary to worker pay based on the CEOโs age.
a. In this study, identify the dependent and independent variables.
b. Explain why a probabilistic model is more appropriate than a deterministic model.
c. Write the equation of the straight-line, probabilistic model.
Refer to the Academy of Management Journal(Aug. 2008) study of corporateacquisitions from 1980 to 2000, Exercise 2.12 (p. 74). Thedata file includes the number of firms with at least one
acquisition each year.
a.Construct either a dot plot or a stem-and-leaf display
for the annual number of firms with at least one
acquisition.
b.On the graph, part a, highlight (or circle) the values for
the years 1996โ2000. Do you detect a pattern? If so,
what conclusion can you draw from the data?
Year | Number of firms sampled | Number with acquisitions |
1980 | 1963 | 18 |
1990 | 2197 | 350 |
2000 | 2778 | 748 |
Total | 6938 | 1116 |
Software millionaires and birthdays. Refer to Exercise 11.23 (p. 655) and the study of software millionaires and their birthdays. The data are reproduced on p. 663.
a. Find SSE and s for the simple linear regression model relating the number (y) of software millionaire birthdays in a decade to the total number (x) of U.S. births.
b. Find SSE and s for the simple linear regression model relating the number (y) of software millionaire birthdays in a decade to the number (x) of CEO birthdays.
c. Which of the two models' fit will have smaller errors of prediction? Why?
Decade | Total U.S. Births (millions) | Number of Software Millionaire Birthdays | Number of CEO Birthdays (in a random sample of 70 companies from the Fortune 500 list) |
1920 | 28.582 | 3 | 2 |
1930 | 24.374 | 1 | 2 |
1940 | 31.666 | 10 | 23 |
1950 | 40.530 | 14 | 38 |
1960 | 38.808 | 7 | 9 |
1970 | 33.309 | 4 | 0 |
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