Engineers for a major automobile manufacturer are studying the impact of horsepower and weight on the miles per gallon (MPG) obtained by various automobiles. A sample of 30 automobiles is used, and the following regression model is found:
Y = 60 â?” 0.15X1 â?” 0.006X2
Where,
Y = MPG
X1 = horsepower
X2 = weight
For this model, the correlationcoefficient is found to be 0.90.
Predict the miles per gallon that would be expected for an automobile that weighs 3,000 pounds and has 120 horsepower.
The regression equation gives us a model that minimizes the distance of the data points from an equation of a smooth continuous …
This solution carefully predicts the miles per gallon that would be expected for an automobile that weighs 3,000 pounds and has 120 horsepower.