Essentials of Statistics for Business and Economics (with XLSTAT Printed Access Card)
8th Edition
ISBN: 9781337114172
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Textbook Question
Chapter 14.6, Problem 37E
In exercise 13, data were given on the adjusted gross income x and the amount of itemized deductions taken by taxpayers. Data were reported in thousands of dollars. With the estimated regression equation ŷ = 4.68 + .16x, the point estimate of a reasonable level of total itemized deductions for a taxpayer with an adjusted gross income of $52,500 is $13,080.
- a. Develop a 95% confidence interval for the
mean amount of total itemized deductions for all taxpayers with an adjusted gross income of $52,500. - b. Develop a 95% prediction
interval estimate for the amount of total itemized deductions for a particular taxpayer with an adjusted gross income of $52,500. - c. If the particular taxpayer referred to in part (b) claimed total itemized deductions of $20,400, would the IRS agent’s request for an audit appear to be justified?
- d. Use your answer to part (b) to give the IRS agent a guideline as to the amount of total itemized deductions a taxpayer with an adjusted gross income of $52,500 should claim before an audit is recommended.
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In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment (The Wall Street Journal, August 18, 2011) lead to the estimated regression equation ŷ = 17.49 + 1.0334x. For these data SSE = 1541.4.Click on the datafile logo to reference the data. Use Table 1 of Appendix B.
a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals).$
b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals).$ to $
c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals).
A researcher developed a regression model to predict the cost of a meal based on the summated rating (sum of ratings for food, decor,and service) and the cost per meal for 12 restaurants. The results of the study show that
b1=1.4379 and Sb1=0.1397.
a. At the 0.05 level of significance, is there evidence of a linear relationship between the summated rating of a restaurant and the cost of a meal?
b. Construct a 95% confidence interval estimate of the population slope,
β1.
a. Determine the hypotheses for the test. Choose the correct answer below.
A.
H0:
β1=0
H1:
β1≠0
B.
H0:
β0≤0
H1:
β0>0
C.
H0:
β1≤0
H1:
β1>0
D.
H0:
β0≥0
H1:
β0<0
E.
H0:
β1≥0
H1:
β1<0
F.
H0:
β0=0
H1:
β0≠0
Compute the test statistic.
The test statistic is ?
(Round to two decimal places as needed.)
Determine the critical value(s).
The critical value(s) is(are) ?
(Use a comma to separate answers as needed.…
In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment (The Wall Street Journal, August 18, 2011) lead to the estimated regression equation ŷ = 17.49 + 1.0334x. For these data SSE = 1541.4. Use Table 1 of Appendix B.Click on the datafile logo to reference the data.
a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals).$
b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals).$ to $
c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals).$ to $
Chapter 14 Solutions
Essentials of Statistics for Business and Economics (with XLSTAT Printed Access Card)
Ch. 14.2 - Given are five observations for two variables, x...Ch. 14.2 - Given are five observations for two variables, x...Ch. 14.2 - Given are five observations collected in a...Ch. 14.2 - Retail and Trade: Female Managers. The following...Ch. 14.2 - Production Line Speed and Quality Control. Brawdy...Ch. 14.2 - Prob. 6ECh. 14.2 - Sales Experience and Performance. A sales manager...Ch. 14.2 - Broker Satisfaction. The American Association of...Ch. 14.2 - Estimating Landscaping Expenditures. David’s...Ch. 14.2 - Prob. 10E
Ch. 14.2 - Laptop Ratings. To help consumers in purchasing a...Ch. 14.2 - Prob. 12ECh. 14.2 - Auditing Itemized Tax Deductions. To the Internal...Ch. 14.2 - Distance and Absenteeism. A large city hospital...Ch. 14.3 - 15. The data from exercise 1...Ch. 14.3 - Prob. 16ECh. 14.3 - The data from exercise 3 follow.
The estimated...Ch. 14.3 - Price and Quality of Headphones. The following...Ch. 14.3 - Prob. 19ECh. 14.3 - Price and Weight of Bicycles. Bicycling, the...Ch. 14.3 - Cost Estimation. An important application of...Ch. 14.3 - Prob. 22ECh. 14.5 - The data from exercise 1 follow.
Compute the mean...Ch. 14.5 - The data from exercise 2 follow.
Compute the mean...Ch. 14.5 - The data from exercise 3 follow.
What is the...Ch. 14.5 - Headphones Conclusion. In exercise 18, the data on...Ch. 14.5 - Prob. 27ECh. 14.5 - Broker Satisfaction Conclusion. In exercise 8,...Ch. 14.5 - Cost Estimation Conclusion. Refer to exercise 21,...Ch. 14.5 - Prob. 30ECh. 14.5 - Significance of Racing Bike Weight on Price. In...Ch. 14.6 - The data from exercise 1 follow. xi 1 2 3 4 5 yi 3...Ch. 14.6 - Prob. 33ECh. 14.6 - 34. The data from exercise 3...Ch. 14.6 - Prob. 35ECh. 14.6 - 36. In exercise 7, the data on y = annual sales ($...Ch. 14.6 - In exercise 13, data were given on the adjusted...Ch. 14.6 - Prob. 38ECh. 14.6 - Prob. 39ECh. 14.7 - Apartment Selling Price. The commercial division...Ch. 14.7 - Computer Maintenance. Following is a portion of...Ch. 14.7 - Annual Sales and Salesforce. A regression model...Ch. 14.7 - Prob. 43ECh. 14.7 - Auto Racing Helmet. Automobile racing,...Ch. 14.8 - Given are data for two variables, x and y. a....Ch. 14.8 - Prob. 46ECh. 14.8 - Restaurant Advertising and Revenue. Data on...Ch. 14.8 - Experience and Sales. Refer to exercise 7, where...Ch. 14.8 - Prob. 49ECh. 14.9 - Consider the following data for two variables, x...Ch. 14.9 - Consider the following data for two variables, x...Ch. 14.9 - Predicting Charity Expenses. Charity Navigator is...Ch. 14.9 - Prob. 53ECh. 14.9 - Valuation of a Major League Baseball Team. The...Ch. 14 - 55. Does a high value of r2 imply that two...Ch. 14 - Prob. 56SECh. 14 - What is the purpose of testing whether 1 = 0? If...Ch. 14 - The Dow Jones Industrial Average (DJIA) and the...Ch. 14 - Prob. 59SECh. 14 - Prob. 60SECh. 14 - Machine Maintenance. Jensen Tire & Auto is in the...Ch. 14 - Production Rate and Quality Control. In a...Ch. 14 - Absenteeism and Location. A sociologist was hired...Ch. 14 - Bus Maintenance. The regional transit authority...Ch. 14 - Studying and Grades. A marketing professor at...Ch. 14 - Income and Percent Audited. The Transactional...Ch. 14 - Used Car Mileage and Price. The Toyota Camry is...Ch. 14 - One measure of the risk or volatility of an...Ch. 14 - As part of a study on transportation safety, the...Ch. 14 - Consumer Reports tested 166 different...Ch. 14 - When trying to decide what car to buy, real value...Ch. 14 - Buckeye Creek Amusement Park is open from the...
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