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. 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. Data for licensed drivers by age and gender. y = x+ (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. y =x+ Number of Number of (Round the slope to three decimal places and round the constant to the nearest integer as needed.) Number of Male Fatal Number of Female Fatal Licensed Drivers Crashes Licensed Drivers Crashes (b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information? Age (000s) (Males) (000s) (Females) < 16 12 227 12 77 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. 16-20 6,424 5,180 6,139 2,113 21-24 6,940 5,016 6,816 1,529 O A. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by on average. 25-34 18,068 8,570 17,664 2,780 (Round to three decimal places as needed.) 35-44 20,406 7,990 20,027 2,742 O B. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by thousand, on average. 45-54 19,898 7,127 19,984 2,285 (Round to three decimal places as needed.) 55-64 14,342 4,527 14,441 1,514 O C. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average. 65-74 8,194 2,274 8,395 938 (Round to three decimal places as needed.) > 74 4,803 2,022 5,375 974 O D. It does not make sense to interpret the slope. Print Done 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 your choice. O A. 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.) O B. 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.)

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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.
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.
Data for licensed drivers by age and gender.
y =
x+
(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.
y =x+
Number of
Number of
(Round the slope to three decimal places and round the constant to the nearest integer as needed.)
Number of Male Fatal
Number of Female Fatal
Licensed Drivers Crashes
Licensed Drivers
Crashes
(b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information?
Age (000s)
(Males)
(000s)
(Females)
< 16
12
227
12
77
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.
16-20
6,424
5,180
6,139
2,113
21-24
6,940
5,016
6,816
1,529
O A. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by
on average.
25-34
18,068
8,570
17,664
2,780
(Round to three decimal places as needed.)
35-44
20,406
7,990
20,027
2,742
O B. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by
thousand, on average.
45-54
19,898
7,127
19,984
2,285
(Round to three decimal places as needed.)
55-64
14,342
4,527
14,441
1,514
O C. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
on average.
65-74
8,194
2,274
8,395
938
(Round to three decimal places as needed.)
> 74
4,803
2,022
5,375
974
O D. It does not make sense to interpret the slope.
Print
Done
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 your choice.
O A. 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.)
O B. 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.)
Transcribed Image Text: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. 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. Data for licensed drivers by age and gender. y = x+ (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. y =x+ Number of Number of (Round the slope to three decimal places and round the constant to the nearest integer as needed.) Number of Male Fatal Number of Female Fatal Licensed Drivers Crashes Licensed Drivers Crashes (b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information? Age (000s) (Males) (000s) (Females) < 16 12 227 12 77 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. 16-20 6,424 5,180 6,139 2,113 21-24 6,940 5,016 6,816 1,529 O A. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by on average. 25-34 18,068 8,570 17,664 2,780 (Round to three decimal places as needed.) 35-44 20,406 7,990 20,027 2,742 O B. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by thousand, on average. 45-54 19,898 7,127 19,984 2,285 (Round to three decimal places as needed.) 55-64 14,342 4,527 14,441 1,514 O C. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average. 65-74 8,194 2,274 8,395 938 (Round to three decimal places as needed.) > 74 4,803 2,022 5,375 974 O D. It does not make sense to interpret the slope. Print Done 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 your choice. O A. 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.) O B. 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.)
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