A used car already has 40,000 miles on it's odometer. The average owner will drive 12,000 miles per year.
Which function best models the linear relationship?
The linear relationship can be modeled by the equation:
y = mx + b
Where y is the total miles on the odometer, x is the number of years after the car is bought, m is the average miles driven per year (slope), and b is the initial number of miles on the odometer when the car is bought (y-intercept).
In this case, the initial number of miles on the odometer is 40,000 miles, and the average owner will drive 12,000 miles per year.
So, the function that best models the linear relationship is:
y = 12,000x + 40,000