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) through (c) below. O 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. (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) Find the least-squares regression line for females. Number of Number Number of Male Fatal (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) Number of Female Fatal Licensed Drivers (000s) Licensed Drivers Crashes 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) (Male) (Female) < 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 (Use the answer from part a to find this answer.) 16-20 6,424 6,973 5,180 6,139 6,816 17,664 20,077 19,984 2,113 21-24 5,016 1,521 O A. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by. on average. O B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by, on average. 25-34 18,068 8,540 2,780 35-44 20,406 7,990 2,742 45-54 19,898 7,111 2,285 14,441 8,405 O C. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by thousand, on average. 55-64 14,353 4,527 1,514 65-74 8,194 2,274 938 O D. It does not make sense to interpret the slope. >74 4,803 2,022 5,375 969 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 you (Use the answer from part a to find this answer.) O A. If the average age of all female licensed drivers increases by 1, then the number of fatal crashes increases by, on average. Print Done O B. If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by, on average. O C. If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by thousand, on average. O D. It does not make sense to interpret the slope.

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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) through (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.
y=x+O
Data for licensed drivers by age and gender.
%3D
(Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.)
Find the least-squares regression line for females.
y =
Number of
Number o
X+
Number of Male Fatal
Number of Female Fatal
(Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.)
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)
(Male)
(000s)
(Female)
< 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
(Use the answer from part a to find this answer.)
16-20
6,424
5,180
6,139
2,113
21-24
6,973
5,016
6,816
1,521
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
8,540
17,664
2,780
35-44
20,406
7,990
20,077
2,742
B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
on average.
45-54
19,898
7,111
19,984
2,285
О с.
the
mber
fatal crashes increases by 1, then the
mber of m
licensed drivers increases by
thousand, on average.
55-64
14
4,527
14,441
1,514
65-74
8,194
2,274
8,405
938
O D. It does not make sense to interpret the slope.
> 74
4,803
2,022
5,375
969
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 you
(Use the answer from part a to find this answer.)
O A. If the average age of all female licensed drivers increases by 1, then the number of fatal crashes increases by
on average.
Print
Done
B. If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
on average.
C. If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by
thousand, on average.
D. It does not make sense to interpret the slope.
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) through (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. y=x+O Data for licensed drivers by age and gender. %3D (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) Find the least-squares regression line for females. y = Number of Number o X+ Number of Male Fatal Number of Female Fatal (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) 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) (Male) (000s) (Female) < 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 (Use the answer from part a to find this answer.) 16-20 6,424 5,180 6,139 2,113 21-24 6,973 5,016 6,816 1,521 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 8,540 17,664 2,780 35-44 20,406 7,990 20,077 2,742 B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average. 45-54 19,898 7,111 19,984 2,285 О с. the mber fatal crashes increases by 1, then the mber of m licensed drivers increases by thousand, on average. 55-64 14 4,527 14,441 1,514 65-74 8,194 2,274 8,405 938 O D. It does not make sense to interpret the slope. > 74 4,803 2,022 5,375 969 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 you (Use the answer from part a to find this answer.) O A. If the average age of all female licensed drivers increases by 1, then the number of fatal crashes increases by on average. Print Done B. If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average. C. If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by thousand, on average. D. It does not make sense to interpret the slope.
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