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. E Click the icon to view the data table. (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females. Find the least-squares regression line for males. (Round the slope to three decimal places and round the constant to the nearest integer as needed.) Find the least-squares regression line for females. -ロxロ (Round the slope to three decimal places and round the constant to the nearest integer as needed.) (b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information? What is the correct interpretation of the slope of the least-squares regression line for males? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. OA the number of fatal crashes increases by 1, then the rumber of male licensed drivers increases by thousand, on average. (Round to tree decimal places as reeded.) OB. the number of male licensed drivers increases by 1 (housand), then the number of fatal orashes increases by. on average. (Round to tree decimal places as needed.) OC. the average age of all male licensed drivers increases by 1, then the number of fatal crashes inoreases by, on average. (Round to three decimal places as needed.) OD. R does not make sense to interpret the slope. What is the comrect interpretation of the slope of the least-squares regression ine for females? Select the correct choice below and, necessary, fil in the answer box to complete your choice. Data for licensed drivers by age and gender. OA. 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.) : OB. 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.) Number of Number of O. Hthe number of fomale lcensed drivers increases by 1 thousand), then the number of tatal crashes increases by Number of Male Fatal Licensed Drivers Crashes Licensed Drivers Number of Female Fatal Crashes (Females) on average (Round to tree decimal places as needed.) Age (000s) (Males) (000s) O D. R does not make sense to interpret the siope. < 16 12 227 12 77 16-20 6,424 5,180 6,139 2,113 (c) The slope of the regression line for males is (less than, greater than, the same as) that for females. 21-24 6,957 5,016 6,816 1,539 This means that males tend to be involved in (more fatal crashes than, fewer fatal crashes than, as 25-34 35-44 45-54 18,068 8,542 17,664 2,780 many fatal crashes as) females. An insurance company may use this information to argue for (higher 20,406 7,990 20,088 2,742 rates for male customers, equal rates for male and female customers, higher rates for female 19,898 7,114 19,984 2,285 customers). 4,527 2,274 55-64 14,358 14,441 1,514 65-74 8,194 8,421 938 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? >74 4,803 2,022 5,375 955 The number of fatal accidents for 16 to 20.year.old males was (above average, below average). The Print Done number of fatal accidents for 21 to 24. ynar.old males was (above average, below average). The number of fatal accidents for males greater than 74 years old was (above average, below average). An insurance company could use it to argue for higher rates for (older, younger) drivers and lower rates for (younger, older) drivers. Does the same relationship hold for females? o Yes • No