Chapter 12, Problem 12.10AC

Suppose an Internet retailer would like to investigate the relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. The accompanying table shows the data from a random sample of 12 customers. Construct a scatter plot using these data. Describe the relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. Click the icon to view the table. Construct a scatter plot using these data. Choose the correct graph below. A. 120 Minutes Order Size ($) B. Order Size ($) 400- Minutes 40 Q O C. Time spent versus order size 15 18 24 30 24 16 10 16 36 9 24 36 Order Size ($) Time (minutes) Order Size (S) 199 230 20 62 343 176 225 354 370 71 400 47 Print Done Minutes Q X Order Size ($) D. Minutes 40 Q OU

Researchers initiated a long-term study of the population of American black bears. One aspect of the study was to develop a model that could be used to predict a bear's weight (since it is not practical to weigh bears in the field). One variable thought to be related to weight is the length of the bear. The accompanying data represent the lengths and weights of 12 American black bears. Complete parts (a) through (d) below. Click the icon to view the data table. Click the icon to view the critical values table. ..... (a) Which variable is the explanatory variable based on the goals of the research? O A. The number of bears B. The weight of the bear O C. The length of the bear (b) Draw a scatter diagram of the data. Choose the correct graph below. O A. O B. O C. D. A Weight (kg) 180- AWeight (kg) 180- ALength (cm) 180- A Weight (kg) 180- 40- 100 40- 100 Length (cm) 40- 100 40- 100 200 200 200 200 Length (cm) Weight (kg) Length (cm) (c) Determine the linear correlation coefficient between…

Review the data in the Table 1, entitled, "Average Annual Salaries for Bachelor of Science Graduates, Summer 2016-Spring 2017". Using this data, create a chart (with a title, labeled axes, and a legend) comparing the average salaries that you could use to guide high school students who want salary influence the type of engineering major that they will choose. Consider, which fields tend to make the most money? Write a recommendation letter addressed to a high school student who wants to select an engineering field based on the salary; using a comparison of the data, recommend which majors they should most closely consider. Engineering - Average Annual Salaries & Hourly Wages for Undergraduates by Program, Summer 2016-Spring 2017 Average Annual Salaries for Bachelor of Science Graduates, Summer 2016-Spring 2017 | Offers/Acceptances with Salary Information 31 Average Annual Salaries $66,356 All Program Aeronautical & Astronautical Engineering Aviation Biomedical Engineering Chemical…

Identify the type of data that would be used when the variable of interest is most-watched TV show.

The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for Camrys, the following data show the mileage and sale price for 19 sales (PriceHub web site, February 24, 2012). DATA file Miles (1,000s) Price ($1,000s) 22 16.2 29 16.0 36 13.8 47 11.5 63 12.5 77 12.9 73 11.2 87 13.0 92 11.8 101 10.8 110 8.3 28 12.5 59 11.1 68 15.0 68 12.2 91 13.0 42 15.6 65 12.7 110 8.3

A researcher explored the relationship between the percent of snow days during the month of January and the percent of students that receive an A on class finals at the same schools. The researcher collects information from 6 schools, shown in the table below. Use the graph below to plot the points and develop a linear relationship between the percent of January snow days and the percent of 'A' final exams. School Number % of Snow Days % of A Finals 1 5 25 2 7 45 3 10 50 4 12 65 5 20 70 6 25 86   Using the linear relationship graphed above, estimate the percent of 'A' finals if there are 2% snow days. Provide your answer below:

Draw a scatter diagram with square feet of living space as the independent variable and selling price as the dependent variable and describe variable and describe the relationship between the size of a house and the selling price.

The graph shows the number of students enrolled in public colleges for selected years (Source: U.S. National Center for Education Statistics, www.nces.ed.gov). The x variable represents the number of years since 1990 and the y variable represents the number of students (in millions). a. Use the points (4, 11.2) and (14, 13.0) to write a linear model for these data. b. Interpret the meaning of the slope in the context of this problem. c. Interpret the meaning of the y-intercept in the context of this problem. d. In the event that the linear trend continues beyond the last observed data point, use the model in part (a) to predict the number of students enrolled in public colleges for the year 2020. Number of Students Enrolled in Public Colleges 20 15 10 (14, 13.0) |(4,11.2) 10 15 20 25 Year (x = 0 represents 1990) Millions

The following table shows the length, in centimeters, of the humerus and the total wingspan, in centimeters, of several pterosaurs, which are extinct flying reptiles.