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).706050O 4030201000102030405060Weight (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). A reasonable value for the slope of the regression line is -1.11. Which of the following statements is the most complete valid conclusion about the relationship between weight and fuel efficiencyHeavier cars tend to have lower mpg ratings.For every 100-pound increase in car weight, we expect to see a 1.11 mpg increase in fuel efficiency.For every 1-pound increase in car weight, we expect to see a 1.11 mpg decrease in fuel efficiency.For every 100-pound increase in car weight, we expect to see a 1.11 mpg decrease in fuel efficiency.