Company Cars (1,000s) Revenue ($ millions) Company A 11.5 118 Company B 10.0 133 Company C 9.0 98 Company D 5.5 37 Company E 4.2 40 Company F 3.3 30 (a) Develop a scatter diagram with the number of cars in service as the independent variable. A scatter diagram has 6 points plotted on it. The horizontal axis ranges from 0 to 14 and is labeled: Cars in Service (1,000s). The vertical axis ranges from 0 to 160 and is labeled: Annual Revenue ($ millions). The points are plotted from left to right in an upward, diagonal direction starting

A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s)                  Annual Revenue ($ millions)11.5                               118 10.0                               135 9.0                                 100 5.5                                 37 3.3                                 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA   df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677     Total 4 8925.2…

Use excel in this question: The Motion Picture Distributors Association of Australia collects yearly data on gross box office takings of the films in Australia. Data is provided here for the years 1990-2004. (Unfortunately more recent data is not readily available.) Is the highest box office takings for a film related to the number of films screened in Australia that year? Year No. of films screened Highest box office ($ million) 1990 252 26.1 1991 240 19.22 1992 229 18.73 1993 259 31.74 1994 252 24.65 1995 253 17.93 1996 281 29.29 1997 285 22.7 1998 273 47.33 1999 255 38.72 2000 250 30.72 2001 245 32.05 2002 258 33.81 2003 268 37.14 2004 318 50.35   1. Produce a scatterplot of the relevant data. Comment on the appropriateness of analysing this data using a linear regression model.  2. Use the statistics from a regression analysis of this data to evaluate the evidence for a useful predictive linear relationship between the two variables at the 5%…

Product Sales   16,400   24,600   41,000   61,500   102,500 Product A sells 2.5 times more than Product B. Product B sells 40% less than Product C. Product C sold 41,000 units this month. How many units of Product A were sold?

Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s) ($ millions) Company A 11.5 120 Company B 10.0 137 Company C 9.0 102 Company D 5.5 39 Company E 4.2 40 Company F 3.3 30 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160 T 160- 1601 140 140 140 120- E 120- 120- 100 100 100- 80 80 80 CO 60 60 60 40 40 40 20 20 20- 6 8 10 12 14 4 6 8 10 12 14 Cars in Service (1,000s). ● 4 6 8 10 12 14 Cars in Service (1,000) 4 Cars in Service (1,000) Ⓡ 0 4 6 8 10 14 O Cars in Service (1,000) (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? O There…

In 1975, there were about 139 million vehicles (cars and trucks) and about 216 million people inthe United States. The number of vehicles has been growing at 4% per year, while the populationhas been growing at 1% per year. In what year was there, on average, one vehicle per person?

A survey looked at how long it takes a typical company to recoup an investment in research. The survey determined that 39% of the corporations took six months or less to recoup their investment. The data table below shows a sample of the time, in months, it might have taken 20 corporations to recoup their investment. Complete parts a and b. 9.0 8.0 4.0 4.0 7.0 8.0 7.0 7.0 9.5 5.5 7.5 12.0 8.5 5.5 10.5 10.0 7.5 4.5 7.0 7.5 a. Determine the number of corporations that recovered their investement in research in six months or less. There were 5 corporations that recovered their investment in research in six months or less. b. Calculate the probability of obtaining at most the number of corporations that you determined in part a if the percent of those recovering their investment is as indicated by the survey. The probability (Round to four decimal places as needed.)

With the rise of e-books and online retailers, the demand for physical bookstores has been declining. The number of bookstores from 2008 through 2013 (in hundreds) are shown in the following table (x = 0 corresponds to 2008): Year 0 1 2 3 4 5 Number of Bookstores 4.2 3.8 3.4 3.0 2.6 2.2 Using the equation, estimate the number of bookstores in 2016. Group of answer choices 200 300 100 400

Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s) ($ millions) Company A 11.5 120 Company B 10.0 133 Company C 9.0 102 Company D 5.5 37 Company E 4.2 42 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160T 160 160- 140- 140 140 140 120 120 120 120- 100 100 100 100- 80 80 80 80 60 60 60 60 .. . 40 40 .. 40 40 20 20 20 20 4 6 8 10 12 14 2 4 8 10 12 14 2 4 6 8 10 12 14 2 4 6 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship between…

Bicycling World, a magazine devoted to cycling, reviews hundreds of bicycles throughout the year. Its "Road-Race" category contains reviews of bicycles used by riders primarily interested in racing. One of the most important factors in selecting a bicycle for racing is the weight of the bicycle. The following data show the weight (pounds) and price ($) for ten racing bicycles reviewed by the magazine. Model Weight      Price Fierro 7B 17.9 2200 HX 5000 16.2 6350 Durbin Ultralight 16 8490 Schmidt 16.2 6300 WSilton Advanced 17.5 4100 bicyclette vélo 15.2 8500 Supremo Team 16.5 6200 XTC Racer 17.6 2680 D’Onofrio Pro 17.5 4500 Americana #6 13.6 8200 Use the data to develop an estimated regression equation that could be used to estimate the price for a bicycle given its weight. What is the estimated regression model?  Group of answer choices y = -1512x + 30578 y = 1351x + 26327 y = -1161x + 24489 y = -1457x + 27903 y = 1341x + 25176