In: Statistics and Probability
The table shows a short excerpt from the "car weight and mileage" data file on the text CD. That file lists several 2004 model cars with automatic transmission and their x = weight (in pounds) and y = mileage (miles per gallon of gas). The scatterplot is roughly linear and r = -0.74. The regression equation is = 47.140 - 0.0051x.
Automobile Brand | Weight | Mileage |
---|---|---|
Honda Accord Sedan LX | 3137 | 35 |
Toyota Corolla | 2583 | 40 |
Dodge Dakota Club Cab | 3869 | 20 |
Jeep Grand Cherokee Laredo | 4002 | 19 |
Hummer H2 | 6387 | 19 |
(a) Find the predicted mileage and residual for a Hummer H2.
y^ | = (2 decimal places) |
Residual | = (2 decimal places) |
(b) Use this information in a sentence.
The Hummer gets miles/gallon ---Select--- (fewer) (more)
than one would predict.
(c) % (Enter a number between 0 and 100; 2 decimal
places) of the variability in ---Select--- (Mileage)
(Weight) can be explained by ---Select--- (Mileage)
(Weight)