EP BUSINESS STATISTICS:FIRST COURSE-ACC
8th Edition
ISBN: 9780135179802
Author: Levine
Publisher: PEARSON CO
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- Use this data for the exercises that follow: In 2013, there were roughly 317 million citizens in the United States, and about 40 million were elderly (aged 65 and over).[34] 60. It is predicted that by 2030, one in five U.S. citizens will be elderly. How much greater will the chances of meeting an elderly person be at that time? What policy changes do you foresee if these statistics hold true?arrow_forwardIn a two-way data table, you can compare how different values of one input variable influence the return on invested capital by holding the remaining input variables constant. True or False True Falsearrow_forwardTo what extent do data and information have an impact on one another?arrow_forward
- Compare the primary types of forecasting methods used to determine demand.arrow_forwardUse the Financial database from “Excel Databases.xls” on Blackboard. Use Total Revenues, Total Assets, Return on Equity, Earnings Per Share, Average Yield, and Dividends Per Share to predict the average P/E ratio for a company. Use Excel to develop the multiple linear regression model. Assume a 5% level of significance. Which independent variable is the strongest predictor of the average P/E ratio of a company? A. Total Revenues B. Average Yield C. Earnings Per Share D.Return on Equity E. Total Assets F.Dividends Per Share Company Type Total Revenues Total Assets Return on Equity Earnings per Share Average Yield Dividends per Share Average P/E Ratio AFLAC 6 7251 29454 17.1 2.08 0.9 0.22 11.5 Albertson's 4 14690 5219 21.4 2.08 1.6 0.63 19 Allstate 6 20106 80918 20.1 3.56 1 0.36 10.6 Amerada Hess 7 8340 7935 0.2 0.08 1.1 0.6 698.3 American General 6 3362 80620 7.1 2.19 3 1.4 21.2 American Stores 4 19139 8536 12.2 1.01 1.4 0.34 23.5 Amoco 7 36287…arrow_forwardMovieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend ofmemberships in order to project future needs. What is the nature of the relationship between advertising expenditure and membership? Forecast 2024 membership using an alternative method, clearly explaining the limitations of your selected method. What are the limitations of the method used in (iii)?arrow_forward
- How will marketers change their social media use in the near future? A survey by Social Media Examiner reported that 77% of B2B marketers (marketers that focus primarily on attracting businesses) plan to increase their use of LinkedIn, as compared to 54% of B2C marketers (marketers that primarily target consumers). The survey was based on 1,184 B2B marketers and 1,703 B2C marketers. The following table summarizes the results: Give an example of a simple Give an example of a joint What is the complement of a marketer who plans to increase use of LinkedIn? Why is a marketer who plans to increase use of LinkedIn and is a B2C marketer a joint event?arrow_forwardUse the Financial database from “Excel Databases.xls” on Blackboard. Use Total Revenues, Total Assets, Return on Equity, Earnings Per Share, Average Yield, and Dividends Per Share to predict the average P/E ratio for a company. Use Excel to perform a forward selection regression analysis. Assume a 5% level of significance. Which independent variables are in the final model? Select all that apply. Company Type Total Revenues Total Assets Return on Equity Earnings per Share Average Yield Dividends per Share Average P/E Ratio AFLAC 6 7251 29454 17.1 2.08 0.9 0.22 11.5 Albertson's 4 14690 5219 21.4 2.08 1.6 0.63 19 Allstate 6 20106 80918 20.1 3.56 1 0.36 10.6 Amerada Hess 7 8340 7935 0.2 0.08 1.1 0.6 698.3 American General 6 3362 80620 7.1 2.19 3 1.4 21.2 American Stores 4 19139 8536 12.2 1.01 1.4 0.34 23.5 Amoco 7 36287 32489 16.7 2.76 3.1 1.4 16.1 Arco Chemical 2 3995 4116 6.2 1.14 6.1 2.8 40.4 Ashland 7 14319 7777 9.5 3.8 2.3 1.1 12.4 Atlantic Richfield 7…arrow_forwardIt has been suggested that sales for the company may be connected to disposable income. Using the information below regarding historical disposable income, predict the sales for 2020 using regression analysis if a reliable prediction for disposable income for 2020 is $21,200. Year Disposable Income 2013 $18,000 2014 $18,618 2015 $19,099 2016 $24,453 2017 $24,906 2018 $20,388 2019 $21,425 Year Sales 2013 $225,000 2014 $193,000 2015 $248,000 2016 $300,000 2017 $340,000 2018 $295,000 2019 $310,000arrow_forward
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