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a. Explain what the graph tells about insurance rates for drivers at different ages. Explain why insurance rates might follow this trend. Choose the correct choice below. O A. The scatterplot shows no association between drivers' age and insurance rates. O B. As drivers' age increases, premiums tend to decrease, before increasing again at 65 years of age. Younger drivers and older drivers are more likely to get into accidents, so they are charged more for premiums. OC. As drivers' age increases, premiums tend to increase. Older drivers are more likely to get into accidents, so they are charged more for premiums. O D. As drivers' age increases, premiums tend to decrease. Younger drivers are more likely to get into accidents, so they are charged more for premiums. b. Would it be appropriate to do a linear regression analysis on these data? Why or why not? Choose the correct choice below. O A. It would not be appropriate, because the data do not show any association. O B. It would not be appropriate, because the data show one or more outliers. OC. It would be appropriate, because the data follow a linear trend. O D. It would not be appropriate, because the data do not follow a linear trend.

a. Explain what the graph tells about insurance rates for drivers at different ages. Explain why insurance rates might follow this trend. Choose the correct choice below. O A. The scatterplot shows no association between drivers' age and insurance rates. O B. As drivers' age increases, premiums tend to decrease, before increasing again at 65 years of age. Younger drivers and older drivers are more likely to get into accidents, so they are charged more for premiums. OC. As drivers' age increases, premiums tend to increase. Older drivers are more likely to get into accidents, so they are charged more for premiums. O D. As drivers' age increases, premiums tend to decrease. Younger drivers are more likely to get into accidents, so they are charged more for premiums. b. Would it be appropriate to do a linear regression analysis on these data? Why or why not? Choose the correct choice below. O A. It would not be appropriate, because the data do not show any association. O B. It would not be appropriate, because the data show one or more outliers. OC. It would be appropriate, because the data follow a linear trend. O D. It would not be appropriate, because the data do not follow a linear trend.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Driver's Age versus Average Insurance Premium Q 8000- 7000- 6000- 5000- 4000- 3000- 2000- 1000+ 10 20 30 40 50 60 70 80 90 Driver's Age Average Insurance Premium
Transcribed Image Text:Driver's Age versus Average Insurance Premium Q 8000- 7000- 6000- 5000- 4000- 3000- 2000- 1000+ 10 20 30 40 50 60 70 80 90 Driver's Age Average Insurance Premium
The accompanying graph shows the average car insurance premium for a sample of ages. Complete parts (a) and (b) below. W Click the icon to view the graph of average car insurance premiums. a. Explain what the graph tells about insurance rates for drivers at different ages. Explain why insurance rates might follow this trend. Choose the correct choice below. A. The scatterplot shows no association between drivers' age and insurance rates. O B. As drivers' age increases, premiums tend to decrease, before increasing again at 65 years f age. Younger drivers and older drivers are more likely to get into accidents, so they are charged more for premiums. C. As drivers' age increases, premiums tend to increase. Older drivers are more likely to get into accidents, so they are charged more for premiums. O D. As drivers' age increases, premiums tend to decrease. Younger drivers are more likely to get into accidents, so they are charged more for premiums. b. Would it be appropriate to do a linear regression analysis on these data? Why or why not? Choose the correct choice below. A. It would not be appropriate, because the data do not show any association. O B. It would not be appropriate, because the data show one or more outliers. O C. It would be appropriate, because the data follow linear trend. O D. It would not be appropriate, because the data do not follow a linear trend.
Transcribed Image Text:The accompanying graph shows the average car insurance premium for a sample of ages. Complete parts (a) and (b) below. W Click the icon to view the graph of average car insurance premiums. a. Explain what the graph tells about insurance rates for drivers at different ages. Explain why insurance rates might follow this trend. Choose the correct choice below. A. The scatterplot shows no association between drivers' age and insurance rates. O B. As drivers' age increases, premiums tend to decrease, before increasing again at 65 years f age. Younger drivers and older drivers are more likely to get into accidents, so they are charged more for premiums. C. As drivers' age increases, premiums tend to increase. Older drivers are more likely to get into accidents, so they are charged more for premiums. O D. As drivers' age increases, premiums tend to decrease. Younger drivers are more likely to get into accidents, so they are charged more for premiums. b. Would it be appropriate to do a linear regression analysis on these data? Why or why not? Choose the correct choice below. A. It would not be appropriate, because the data do not show any association. O B. It would not be appropriate, because the data show one or more outliers. O C. It would be appropriate, because the data follow linear trend. O D. It would not be appropriate, because the data do not follow a linear trend.
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