Final answer:
The fatality rate for drivers under the age of 20 is higher than for any other age group, which can be statistically analyzed via scatter plots, best-fit lines, and probability assessments for driver deaths per given day.
Step-by-step explanation:
The fatality rate per million miles driven for drivers under the age of 20 is higher than for any other age group. This is supported by statistical data that indicates younger drivers are more likely to be involved in fatal accidents due to various factors, such as inexperience and higher risk behaviors. It is statistically significant that the correlation between driver's age and fatality rates is negative, suggesting that as age increases, the likelihood of being involved in a fatal accident generally decreases, up to a certain age before it increases again for very elderly drivers.
To further illustrate the relationship, we would calculate a least-squares (best-fit) line using the provided data points, with the age of the driver as the independent variable and the number of driver deaths per 100,000 people as the dependent variable. This analysis provides a foundation for predictive modeling about fatality rates across different ages.
An additional statistical view could involve probability calculations, like whether it's likely more than 20 teens will be killed in vehicle accidents on a given day, or if we can expect days with no teen deaths. This involves defining a random variable X for the number of teen deaths per day and using probability distributions to estimate these chances.