Volkswagen emissions scandal. Refer to the Significance (December 2015) study estimating the number of U.S. deaths attributable to nitrous oxide pollution (NOx) produced from illegal VW vehicles. Exercise 2.30 (p. 61). The researchers varied the values of three different variables—total distance (in miles) driven by these illegal VW vehicles, the amount by which the VW vehicles exceeded the EPA standard for NOx, and the estimated association between NOx emissions and mortality—to obtain their estimates Each variable was set at three different levels Distance (6, 17, and 33 billion miles). Excess amount (15, 30, and 40 times higher than the standard), and Association (.00085. .0019, and .0095 deaths per ton).
- a. How many different combinations of Distance. Excess, and Association are possible? The researchers computed the estimated number of deaths for each of those combinations, which they called scenarios.
- b. Refer to part a. Suppose the researchers desire to select two of these scenarios for a more detailed analysis. If these scenarios are selected at random, how many possible choices of two are there?
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Statistics for Business and Economics (13th Edition)
- Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forwardFind the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forward
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