Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
6th Edition
ISBN: 9781337115186
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 14.7, Problem 40E
The commercial division of a real estate firm conducted a study to determine the extent of the relationship between annual gross rents ($1000s) and the selling price ($1000s) for apartment buildings. Data were collected on several properties sold, and Excel’s Regression tool was used to develop an estimated regression equation. A portion of the regression output follows.
- a. How many apartment buildings were in the sample?
- b. Write the estimated regression equation.
- c. Use the t test to determine whether the selling price is related to annual gross rents. Use α = .05.
- d. Use the F test to determine whether the selling price is related to annual gross rents. Use α = .05.
- e. Predict the selling price of an apartment building with gross annual rents of $50,000.
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Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
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 - The National Football League (NFL) records a...Ch. 14.2 - Sales Experience and Performance. A sales manager...Ch. 14.2 - Broker Satisfaction. The American Association of...Ch. 14.2 - Companies in the U.S. car rental market vary...Ch. 14.2 - Age and the Price of Wine. For a particular red...
Ch. 14.2 - Laptop Ratings. To help consumers in purchasing a...Ch. 14.2 - Stock Beta. In June of 2016, Yahoo Finance...Ch. 14.2 - Distance and Absenteeism. A large city hospital...Ch. 14.2 - Using a global-positioning-system (GPS)-based...Ch. 14.3 - 15. The data from exercise 1...Ch. 14.3 - The data from exercise 2 follow.
The estimated...Ch. 14.3 - Prob. 17ECh. 14.3 - Price and Quality of Headphones. The following...Ch. 14.3 - Sales Experience and Sales Performance. In...Ch. 14.3 - Price and Weight of Bicycles. Bicycling, the...Ch. 14.3 - Cost Estimation. An important application of...Ch. 14.3 - 22. Refer to exercise 9, where the following data...Ch. 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 - Prob. 26ECh. 14.5 - To identify high-paying jobs for people who do not...Ch. 14.5 - Broker Satisfaction Conclusion. In exercise 8,...Ch. 14.5 - Cost Estimation Conclusion. Refer to exercise 21,...Ch. 14.5 - Significance of Fleet Size on Rental Car Revenue....Ch. 14.5 - Significance of Racing Bike Weight on Price. In...Ch. 14.6 - 32. The data from exercise 1...Ch. 14.6 - 33. The data from exercise 2...Ch. 14.6 - Prob. 34ECh. 14.6 - 35. The following data are the monthly salaries y...Ch. 14.6 - 36. In exercise 7, the data on y = annual sales ($...Ch. 14.6 - In exercise 5, the following data on x = the...Ch. 14.6 - Prob. 38ECh. 14.6 - 39. In exercise 12, the following data on x =...Ch. 14.7 - The commercial division of a real estate firm...Ch. 14.7 - Following is a portion of the regression output...Ch. 14.7 - Prob. 43ECh. 14.7 - Auto Racing Helmet. Automobile racing,...Ch. 14.8 - Prob. 45ECh. 14.8 - Prob. 46ECh. 14.8 - Prob. 47ECh. 14.8 - Prob. 48ECh. 14.8 - Prob. 49ECh. 14.9 - Consider the following data for two variables, x...Ch. 14.9 - Prob. 51ECh. 14.9 - Predicting Charity Expenses. Charity Navigator is...Ch. 14.9 - Many countries, especially those in Europe, have...Ch. 14.9 - Valuation of a Major League Baseball Team. The...Ch. 14 - The Dow Jones Industrial Average (DJIA) and the...Ch. 14 - Home Sire and Price. Is the number of square feet...Ch. 14 - Online Education. One of the biggest changes in...Ch. 14 - Machine Maintenance. Jensen Tire & Auto is in the...Ch. 14 - Bus Maintenance. The regional transit authority...Ch. 14 - Studying and Grades. A marketing professor at...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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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forwardLife Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300arrow_forwardFor the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.arrow_forward
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