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. (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, fl in the answer box to complete your choice. OA 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.) OB the number of male licensed drivers increases by 1 (housand). then the number of tatal orashes increases by (Round to three decimal places as needed.) on average Oc the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by on average (Round to tree decimal places as needed.) OD. R does not make sense to interpret the silope What is the comect interpretation of the slope of the least-equares regression ine for females? Select the corect choice below and, necessary. in the answer box to complete your choice OA the average age of all female lcensed drivers increases by 1, then the number of fatal crashes increases byon average (Round to three decimal piaces as needed.) OB. Ehe number of tatal orashes increases by 1, then the number of female loensed divers increases byhousand, on average (Round to three decimal places as needed.) OC. the number of female lcensed drivers inoreases by 1 (housand), then the number of fatal orashes increases byon average (Round to three decimal places as needed.) D. t does not make sense to interpret the slope

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Question

Parts A & B

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.
-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.
ーロ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, fil
in the answer box to complete your choice.
OA. 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.)
OB. the number of male licensed drivers increases by 1 (thousand), then the number of fatal orashes increases by
, on average.
(Round to three decimal places as needed.)
OC. rthe 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. R does not make sense to interpret the slope.
What is the correct interpretation of the slope of the least-equares regression line 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.)
C OB. Fthe number of fatal crashes increases by 1, then the number of female licensed drivers increases by thousand, on average.
Number of
Number of
(Round to three decimal places as needed.)
Number of Male Fatal
Number of Female Fatal
OC. the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by
on average
Licensed Drivers Crashes
(Males)
227
Licensed Drivers
(000s)
Crashes
(Females)
(Round to three decimal places as needed.)
Age (000s)
O D. Edoes not make sense to interpret the slope.
< 16
12
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
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
45-54
19,898
7,114
19,984
2,285
customers).
55-64
14,358
4,527
14,441
1,514
65-74
8,194
2,274
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
> 74
4,803
2,022
5,375
955
information? Does the same relationship hold for females?
The number of fatal accidents for 16 to 20.vear.old males was (above average, below average). The
Print
Done
number of fatal accidents for 21 to 24 yeac.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?
• Yes
• No
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. 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. -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. ーロ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, fil in the answer box to complete your choice. OA. 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.) OB. the number of male licensed drivers increases by 1 (thousand), then the number of fatal orashes increases by , on average. (Round to three decimal places as needed.) OC. rthe 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. R does not make sense to interpret the slope. What is the correct interpretation of the slope of the least-equares regression line 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.) C OB. Fthe number of fatal crashes increases by 1, then the number of female licensed drivers increases by thousand, on average. Number of Number of (Round to three decimal places as needed.) Number of Male Fatal Number of Female Fatal OC. the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by on average Licensed Drivers Crashes (Males) 227 Licensed Drivers (000s) Crashes (Females) (Round to three decimal places as needed.) Age (000s) O D. Edoes not make sense to interpret the slope. < 16 12 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 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 45-54 19,898 7,114 19,984 2,285 customers). 55-64 14,358 4,527 14,441 1,514 65-74 8,194 2,274 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 > 74 4,803 2,022 5,375 955 information? Does the same relationship hold for females? The number of fatal accidents for 16 to 20.vear.old males was (above average, below average). The Print Done number of fatal accidents for 21 to 24 yeac.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? • Yes • No
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