Statistics for Business and Economics (13th Edition)
13th Edition
ISBN: 9780134506593
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
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Chapter 11.4, Problem 11.50ACB
Lobster fishing study. Refer to the Bulletin of Marine Science (April 201 0) study of teams of fishermen fishing for the red spiny lobster in Baja California Sur, Mexico, Exercise 11. 20 (p. 630). A simple linear regression model relating y =total catch of lobsters (in kilograms) and x =average percentage of traps allocated per day to exploring areas of unknown catch (called search frequency) was fit to the data in the file. A portion of the XLSTAT printout is reproduced at the bottom of the page.
a. Give the null and alternative hypotheses for testing whether total catch (y) is negatively linearly related to search frequency (x).
b. Find the p-value of the test on the XLSTAT printout.
c. Give the appropriate conclusion of the test, part c, using α = .05.
XLSTAT output for Exercise 11.50
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A group of Maternal and Child Health public health practitioners are interested in the relationship between bacterial vaginosis (BV) and a number of negative health outcomes. Suppose the research team gathers information on a group of participants, and constructs a multiple linear regression model looking at the relationship between BV and depression, controlling for maternal age. The following is a computerized output displaying the results of their analysis.Parameter Intercept Maternal Age DepressionEstimate StandardError tValue Pr>|t|0.2186206635 -.0046496845 0.19124124150.06635040 0.00221338 0.031518843.29 0.0010 -2.10 0.0360 6.07 <.0001
A) What are the dependent and independent variables in this investigation?B) Based on the information above, was the research team justified in controlling for maternal age in this population? Why or why not?C) Write out the model in symbols. Round to 3 decimal places.D) Is there a significant association between BV and depression?
The Update to the Task Force Report on Blood Pressure Control in Children [12] reported the observed 90th per-centile of SBP in single years of age from age 1 to 17 based on prior studies. The data for boys of average height are given in Table 11.18. Suppose we seek a more efficient way to display the data and choose linear regression to accomplish this task.
age sbp
1 99
2 102
3 105
4 107
5 108
6 110
7 111
8 112
9 114
10 115
11 117
12 120
13 122
14 125
15 127
16 130
17 132
Do you think the linear regression provides a good fit to the data? Why or why not? Use residual analysis to justify your answer.
Am I supposed to run a residual plot and QQ-plot for this question?
Chapter 11 Solutions
Statistics for Business and Economics (13th Edition)
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Refer to the...Ch. 11.4 - Prob. 11.62ACACh. 11.4 - Does elevation impact hitting performance in...Ch. 11.5 - Explain what each of the following sample...Ch. 11.5 - Describe the slope of the least squares line if a....Ch. 11.5 - Construct a scatterplot for each data set. Then...Ch. 11.5 - Calculate r2 for the least squares line in each of...Ch. 11.5 - Use the applet Correlation by Eye to explore the...Ch. 11.5 - In business, do nice guys finish first or last?...Ch. 11.5 - Going for it on fourth-down in the NFL Each week...Ch. 11.5 - Lobster fishing study. Refer to the Bulletin of...Ch. 11.5 - RateMyProfessors.com. A popular Web site among...Ch. 11.5 - Last name and acquisition timing. Refer to the...Ch. 11.5 - Women in top management. 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