The data in the table represent the number of licensed driversin various age groups and the number of fatal accidents within theage group by gender. Complete parts​ (a) to​ (c) below.

Age   Number_of_Male_Licensed_Drivers_(000s),Number_of_Fatal_Crashes, Number_of_Female_Licensed_Drivers0000s),Number_of_Fatal_Crashes
<_16   12   227   12  77
16-20   6424   5180  6139   2113
21-24   6936   5016  6816   1550
25-34   18068   8565  17664   2780
35-44   20406   7990  20061   2742
45-54   19898   7126  19984   2285
55-64   14363   4527  14441   1514
65-74   8194   2274  8398   938
>_74   4803   2022  5375   957

(a) Find the​ least-squares regression line for males treatingthe number of licensed drivers as the explanatory​ variable, x, andthe number of fatal​ crashes, y, as the response variable. Repeatthis procedure for females.

(b) Interpret the slope of the​ least-squares regression linefor each​ gender, if appropriate. How might an insurance companyuse this​ information?

(c) Was the number of fatal accidents for 16 to 20 year oldmales above or below​average? Was the number of fatal accidents for21 to 24 year old males above or below​average? Was the number offatal accidents for males greater than 74 years old above or below​average? How might an insurance company use this​ information? Doesthe same relationship hold for​ females?