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. (Round the slope to three decimal places and round the constant to the nearest integer as needed.) (b) Interpret the slope of the least-aquares 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 cholce below and, If necessary, fill in the answer box to complete you choice. A. 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.) B. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by thousand, on average. (Round to three decimal places as needed.) OC. Ir the average age of all male licensed drivers increases by 1, then the number of fatal orashes increases by, on average. (Round to three decimal places as needed.) OD. 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 cholce below and, If necessary, fill in the answer box to complete your cholce. 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.) B. If the number of female lioensed drivers increases by 1 (thousand), then the number of fatal crashes increases by, on average. (Round to three decimal places as needed.) 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 in surance 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 relationshi 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?
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
In boxes in part B you choose between:
1. less than / greater than / the same as
2. more fatal crashes than / fewer fatal crashes than / as many fatal crashes as
3. equal rates for male and female customers / higher rates for female customers / higher rates for male customers
in part C in boxes you choose between:
1. below average / above average
2. below average / above average
3. below average / above average
4. younger / older
5. younger / older
![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.
-ロロ
(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.
A. 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.)
B. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by
thousand, on average.
(Round to three decimal places as needed.)
OC. 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.)
OD. 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
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 female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
(Round to three decimal places as needed.)
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.
(Round to three decimal places as needed.)
OD. 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
V drivers.
Does the same relationship hold for females?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe0957ce8-3b5a-4f4d-b153-55a860537602%2F5866ebe3-edaf-43d4-91c2-8f7566f4049a%2Fd5hzmr9_processed.png&w=3840&q=75)
![Data for licensed drivers by age and gender.
Number of
Number of
Number of Male Fatal
Number of Female Fatal
Licensed Drivers Crashes Licensed Drivers Crashes
Age (000s)
(Males) (000s)
(Females)
< 16
12
227
12
77
16-20
6,424
5,180
6,139
2,113
21-24
6,925
5,016
6,816
1,543
25-34
18,068
8,578
17,664
2,780
35-44
20,406
7,990
20,018
2,742
45-54
19,898
7,130
19,984
2,285
55-64
14,317
4,527
14,441
1,514
65-74
8,194
2,274
8,393
938
>74
4,803
2,022
5,375
963
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