Weight (in tons) and fuel economy (in mpg) were measured for a sample of seven diesel trucks. The results are presented in the following table. Weight 8.002 4.502 7.001 4.502 8.501 2.752 1.250 Mileage 4.69 5.97 5.46 6.49 4.34 6.24 8.45 What is the correlation coefficient for this data? A. -0.933 What is the equation of the least squares line for this data? B. y-hat = 8.372 - 0.465x If the weight of two trucks differ by 5 tons, by how much would you predict C. 2.325 their mileages to differ? D. 6.047 Predict the mileage for a truck weighing 5 tons. E. It is not reasonable to use this model to predict the mileage for a truck weighing 15 4 Predict the mileage for a truck weighing 15 tons. Is this reasonable? If tons because this value is far removed from the data collected to build the model. Extrapolation is risky! so, give the mileage. If not, explain why it is not reasonable. F. 1.397 G. y-hat = 8.372x - 0.465 H. 0.871 1. 41.86 J. 41.395