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(Exercises 27–40) For each description of data, identify the W’s, name the variables, specify for each variable whether its use indicates that it should be treated as categorical or quantitative, and, for any quantitative variable, identify the units in which it was measured (or note that they were not provided).
34. Vineyards Business analysts hoping to provide information helpful to American grape growers compiled these data about vineyards: size (acres), number of years in existence, state, varieties of grapes grown, average case price, gross sales, and percent profit.
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- A critically important aspect of customer service in a supermarket is the waiting time at the checkout (defined as the time the customer enters the line until he or she is served). Data were collected during time periods where there were a constant number of checkout counters open. The total number of customers in the store and the waiting times (in minutes) were recorded. The results are displayed in the accompanying table. Complete parts (a) through (d). LOADING... Click the icon to view the data table. a. Construct a scatter diagram. Choose the correct graph below. A. 05006CustomersTime x y graph B. 06050TimeCustomers x y graph C. 05006CustomersTime x y graph D. 06050TimeCustomers x y graph b. Assuming a linear relationship, use the least-squares method to find the regression coefficients b0 and b1. b0 = enter your…arrow_forwardCholesterol A study examining the health risks of smok-ing measured the cholesterol levels of people who had smoked for at least 25 years and people of similar ageswho had smoked for no more than 5 years and thenstopped. Create appropriate graphical displays for both groups, and write a brief report comparing their choles-terol levels. Here are the data:arrow_forward4. Use this data from the HANES5 survey to estimate the average weight of men 18 and over whose heights were 73 inches. average height: 69 inches average weight: 190 pounds r = 0.41 SD 3 inches SD 42 poundsarrow_forward
- EXERCISE 1.3arrow_forwardQ1. The table provided gives data on indexes of output per hour (X) and real compensation per hour (Y) for the business and nonfarm business sectors of the U.S. economy for 1960–2005. The base year of the indexes is 1992 = 100 and the indexes are seasonally adjusted. a. Plot Y against X for the two sectors separately. b. What is the economic theory behind the relationship between the two variables? Does the scattergram support the theory? c. Estimate the OLS regression of Y on X. Note: on the table ( 1. Output refers to real gross domestic product in the sector. 2. Wages and salaries of employees plus employers’ contributions for social insurance and private benefit plans. 3. Hourly compensation divided by the consumer price index for all urban consumers for recent quarters.) Thank you!arrow_forwardWhich of the following refers to the process of listing data in their original form in which they are collected? a. Primary data b. Raw data c. Secondary data d. Qualitative dataarrow_forward
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