How would you solve the below?

A regression of the gas mileage of a car (Mileage, measured in miles per gallon or mpg) on the car's weight (measured in kilograms or kg) using a random sample of cars weighing 900-4000 kg yields the following

Mileage = 55.56 - 0.0082 x Weight

If the average weight of cars in the sample is 3580 kg, the average gas mileage in the sample will be ______ mpg. (Rounded to nearest two decimal points)

Suppose that a car weighs 3580 kg and its actual mileage is 25.84 mpg

The OLS residual in the case is _______ mpg. (Rounded to nearest two decimal points)

Suppose you want to use the estimated regression line to predict the mileage of a bus which weighs around 16,000 kg. Which of the following statements is true?

A. The estimate from the OLS regression line would be unreliable as the data did not include vehicles weighing more than 4000 kg

B. According to the OLS regression line, the predicted mileage given the weight of the bus is 25.84 mpg.

C. The predicted mileage given the weight of the bus will be the same as the average gas mileage in the sample, i.e., 26.20 mpg.

D. According to the OLS regression line, the predicted mileage given the weight of the bus is 186.76 mpg.