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. (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+O (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ーロx+ロ (Round the slope to three decimal places and round the constant to the nearest integer as needed.) Number of Number ot Number of Male Fatal Licensed Drivers Crashes Number of Female Fatal Licensed Drivers Crashes Age (000s) < 16 (b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information? (Males) (000s) (Females) 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 16-20 6,424 5,180 6,139 2,113 21-24 6,961 5,016 6,816 1,532 O A. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by, on average. (Round to three decimal places as needed.) 8,555 7,990 7,122 25-34 18,068 17,664 2,780 35-44 20,406 20,064 2,742 O B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by, on average. (Round to three decimal places as needed.) 45-54 19,898 19,984 2,285 55-64 14,362 4,527 14,441 1,514 65-74 8,194 2,274 8,369 938 O C. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by thousand, on average. >74 4,803 2,022 5,375 962 (Round to three decimal places as needed.) O D. It does not make sense to interpret the slope. 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 Print Done 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 female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by O, on average. (Round to three decimal places as needed.) O C. If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by (Round to three decimal places as needed.) | thousand, on average. D. It does not make sense to interpret the slope. The slope of the regression line for males is V that for females. This means that males tend to be involved in females. An insurance company may use this information to argue for

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
Practice Pack
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.
.....
(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.
(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.
x +
Number of
Number of
Number of Male Fatal
Number of Female Fatal
(Round the slope to three decimal places and 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)
(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
16-20
6,424
5,180
6,139
2,113
21-24
6,961
5,016
6,816
1,532
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
8,555
17,664
2,780
(Round to three decimal places as needed.)
35-44
20,406
7,990
20,064
2,742
19,984
B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
(Round to three decimal places as needed.)
on average.
45-54
19,898
7,122
2,285
55-64
14,362
4,527
14,441
1,514
65-74
8,194
2,274
8,369
938
C. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by
thousand, on average.
>74
4,803
2,022
5,375
962
(Round to three decimal places as needed.)
D. It does not make sense to interpret the slope.
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
Print
Done
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.)
В.
the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
on average.
(Round to three decimal places as needed.)
O C. 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.)
D. It does not make sense to interpret the slope.
The slope of the regression line for males is
that for females. This means that males tend to be involved in
females. An insurance company may use this information to argue for
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. ..... (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. (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. x + Number of Number of Number of Male Fatal Number of Female Fatal (Round the slope to three decimal places and 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) (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 16-20 6,424 5,180 6,139 2,113 21-24 6,961 5,016 6,816 1,532 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 8,555 17,664 2,780 (Round to three decimal places as needed.) 35-44 20,406 7,990 20,064 2,742 19,984 B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by (Round to three decimal places as needed.) on average. 45-54 19,898 7,122 2,285 55-64 14,362 4,527 14,441 1,514 65-74 8,194 2,274 8,369 938 C. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by thousand, on average. >74 4,803 2,022 5,375 962 (Round to three decimal places as needed.) D. It does not make sense to interpret the slope. 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 Print Done 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.) В. the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average. (Round to three decimal places as needed.) O C. 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.) D. It does not make sense to interpret the slope. The slope of the regression line for males is that for females. This means that males tend to be involved in females. An insurance company may use this information to argue for
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) bel
Data for licensed drivers by age and gender.
.....
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 you
Number of
Number of
A. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by
on average.
Number of Male Fatal
Number of Female Fatal
(Round to three decimal places as needed.)
Licensed Drivers Crashes
Licensed Drivers
Crashes
Age (000s)
(Males)
(000s)
(Females)
O B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
on average.
< 16
12
227
12
77
(Round to three decimal places as needed.)
16-20
6,424
5,180
6,139
2,113
C. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by
thousand, on average.
21-24
6,961
5,016
6,816
1,532
(Round to three decimal places as needed.)
25-34
18,068
8,555
17,664
2,780
O D. It does not make sense to interpret the slope.
35-44
20,406
7,990
20,064
2,742
45-54
19,898
7,122
19,984
2,285
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 y
55-64
14,362
4,527
14,441
1,514
65-74
8,194
2,274
8,369
938
A. If the average age of all female licensed drivers increases by 1, then the number of fatal crashes increases by
on average.
> 74
4,803
2,022
5,375
962
(Round to three decimal places as needed.)
B. If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
on average.
(Round to three decimal places as needed.)
C.
Print
Done
If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by
(Round to three decimal places as needed.)
thousand, on average.
O D. It does not make sense to interpret the slope.
The slope of the regression line for males is
that for females. This means that males tend to be involved in
females. An insurance company may use this information to argue for
(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
The number of fatal accidents for 21 to 24 year old males was
The number of fatal accidents for males greater than 74 years old was
An insurance company could use it to argue for higher rates for
drivers and lower rates for
drivers.
Does the same relationship hold for females?
O No
O Yes
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) bel Data for licensed drivers by age and gender. ..... 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 you Number of Number of A. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by on average. Number of Male Fatal Number of Female Fatal (Round to three decimal places as needed.) Licensed Drivers Crashes Licensed Drivers Crashes Age (000s) (Males) (000s) (Females) O B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average. < 16 12 227 12 77 (Round to three decimal places as needed.) 16-20 6,424 5,180 6,139 2,113 C. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by thousand, on average. 21-24 6,961 5,016 6,816 1,532 (Round to three decimal places as needed.) 25-34 18,068 8,555 17,664 2,780 O D. It does not make sense to interpret the slope. 35-44 20,406 7,990 20,064 2,742 45-54 19,898 7,122 19,984 2,285 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 y 55-64 14,362 4,527 14,441 1,514 65-74 8,194 2,274 8,369 938 A. If the average age of all female licensed drivers increases by 1, then the number of fatal crashes increases by on average. > 74 4,803 2,022 5,375 962 (Round to three decimal places as needed.) B. If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average. (Round to three decimal places as needed.) C. Print Done If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by (Round to three decimal places as needed.) thousand, on average. O D. It does not make sense to interpret the slope. The slope of the regression line for males is that for females. This means that males tend to be involved in females. An insurance company may use this information to argue for (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 The number of fatal accidents for 21 to 24 year old males was The number of fatal accidents for males greater than 74 years old was An insurance company could use it to argue for higher rates for drivers and lower rates for drivers. Does the same relationship hold for females? O No O Yes
Expert Solution
trending now

Trending now

This is a popular solution!

video

Learn your way

Includes step-by-step video

steps

Step by step

Solved in 5 steps with 2 images

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman