Suppose we have a collection of cars, we measure their weights and fuel efficiencies, and generate the
following graph of the data. Note: automobile fuel efficiency is often measured in mpg (miles that the car can
be driven per one gallon of gas).
70
60
50
40
MPG
30
$
20
10
0
0
10
20
50
60
30
40
Weight (100 lbs)
For this data set, X represents the weight of each car in hundreds of pounds, and Y represents the predicted
fuel efficiency of each car in miles per gallon (mpg).
Here's the least squares regression line for this data set is Y = -1.11X + 68.17.
Use the given equation of the regression line to predict the mpg rating of a car that weighs 3700 lbs.
0 27.1 mpg
O 64.063 mpg
O 109.24
O 4175.17 mpg
O-4038.83 mpg