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The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) to (c) below. EH Click the icon to view the data table. What is the correct interpretation of the slope of the least-squares regression line for females? Select the correct choice below and, if necessary, fill in the answer box to complete ~ a your choice. 4 If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by 0.105 , on average. (Round to three decimal places as needed.) If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by thousand, on average. (Round to three decimal places as needed.) If the average age of all female licensed drivers increases by 1, then the number of fatal crashes increases by , on average. (Round to three decimal places as needed.) It does not make sense to interpret the slope. The slope of the regression line for males is greater than that for females. This means that males tend to be involved in more fatal crashes than females. An insurance company may use this information to argue for higher rates for male customers. (c) Was the number of fatal accidents for 16 to 20 year old males above or below average? Was the number of fatal accidents for 21 to 24 year old males above or below average? Was the number of fatal accidents for males greater than 74 years old above or below average? How might an insurance company use this information? Does the same relationship hold for females? The number of fatal accidents for 16 to 20 year old males was above average. The number of fatal accidents for 21 to 24 year old males was above average. The number of fatal accidents for males greater than 74 years old was below average. An insurance company could use it to argue for higher rates for younger drivers and lower rates for older drivers.
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