A restaurant has tracked the number of meals served at lunch over the last four weeks. The data show little in terms of trends, but do display substantial variation by day of the week. Use the following information to determine the seasonal (daily) indices for this restaurant.       Week Day 1 2 3 4 Sunday 40 35 39 43 Monday 54 55 51 59 Tuesday 61 60 65 64 Wednesday 72 77 78 69 Thursday 89 80 81 79 Friday 91 90 99 95 Saturday 80 82 81 83

Macmillan Learning Consider the CEO of a company that sells coffee at small free standing shops around the country. The Board of Directors is considering increasing the number of locations in an effort to increase total revenue, ceteris paribus. Use the data to determine if revenue is responsive to the number of locations. Use the midpoint method to calculate percentages. Number of locations Total revenue Calculate the percentage change in locations. 2012 3000 $60 million Calculate the percentage change in total revenue. Based on the CEO's analysis, he reports to the Board that total revenue is inelastic with respect to the number of locations. total revenue is unit elastic with respect to the number of locations. total revenue is elastic with respect to the number of locations. 2013 3750 $75 million percentage change in total revenue: percentage change in locations: % %

Ypsilanti Market Research conducted a survey to find out whether people who earn more money purchase more expensive goods. The following graph indicates the relationship between income the survey subjects earned and the price of the car that they purchased. The variable shown on the vertical axis is __________ (options: thousands of dollars per car, thousands of dollars per year, income, thousands of dollars, price, number of goods).   The units for the variable on the horizontal axis are _________ (options: thousands of dollars per car, thousands of dollars per year, income, thousands of dollars, price, number of goods).   There are two ways to view the information presented on the graph. First, the graph tells us the amount a person with a certain income is likely to spend on a car, and second, it tells us the probable income of a person who spent a certain amount on a car. For example, if an individual earned $50,000 last year and purchased a new car, you would expect that person to…

The Wall Street Journal’s website, www.wsj.com, reported the number of cars and light-duty trucks sold through October of 2014 and October of 2015. The top sixteen manufacturers are listed here. The sales information for all manufacturers can be accessed in a data file below.  Sales data are often reported in this way to compare current sales to last year’s sales.     Year-to-Date Sales   Manufacturer Through October 2015   Through October 2014   General Motors Corp. 2,562,840   2,434,707   Ford Motor Company 2,178,587   2,065,612   Toyota Motor Sales USA Inc. 2,071,446   1,975,368   Chrysler 1,814,268   1,687,313   American Honda Motor Co Inc. 1,320,217   1,281,777   Nissan North America Inc. 1,238,535   1,166,389   Hyundai Motor America 638,195   607,539   Kia Motors America Inc. 526,024   489,711   Subaru of America Inc. 480,331   418,497   Volkswagen of America Inc. 294,602   301,187   Mercedes-Benz 301,915   281,728   BMW of North America Inc.…