# Question: The following data represent the number of licensed drivers in

The following data represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender.

(a) Find the least-squares regression line for males treating number of licensed drivers as the explanatory variable, x, and number of fatal crashes, y, as the response variable. Repeat this procedure for females.

(b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information?

(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?

(a) Find the least-squares regression line for males treating number of licensed drivers as the explanatory variable, x, and number of fatal crashes, y, as the response variable. Repeat this procedure for females.

(b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information?

(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?

## Answer to relevant Questions

One of the biggest factors in determining the value of a home is the square footage. The following data represent the square footage and asking price (in thousands of dollars) for a random sample of homes for sale in Naples, ...An Unhealthy Commute Use the results from Problem 25 in Section 4.1 and Problem 17 in Section 4.2 to: (a) Determine the coefﬁcient of determination, R2. (b) Interpret the coefﬁcient of determination and comment on the ...Suppose that we ﬁnd a bear that is 205 cm tall and weighs 187 kg and add the bear to the data in Problem 20 from Section 4.2. Total Length (cm), x ..... Weight (kg), y 139.0 ............ 110 138.0 ............ ...In a recent Harris Poll, a random sample of adult Americans (18 years and older) was asked, “Given a choice of the following, which one would you most want to be?” Results of the survey, by gender, are given in the ...Suppose that P(E) = 0.76, P(F ) = 0.45, and P(E and F ) = 0.32. What is P(E or F )? Let the sample space be S = {red, green, blue, orange, yellow}. Suppose that the outcomes are equally likely.Post your question