The answer is (d) 110 - (101.24 + 0.02977 * 953).
Residual: A residual is the difference between the actual observed value (in this case, the actual air fare of $110) and the predicted value from the regression model.
Predicted Value: The expression 101.24 + 0.02977 * 953 calculates the predicted air fare for a flight of 953 miles using the model's coefficients.
Calculating Residual: To find the residual, we subtract the predicted value from the actual value:
Residual = Actual Value - Predicted Value
= $110 - (101.24 + 0.02977 * 953)
Option (d) correctly represents this calculation.
Complete Question:
The computer output below predicts air fare for a discount airline’s flights from Philadelphia to 13 different cities from the flight’s length in miles. A scatterplot of the data suggests that the relationship is roughly linear.

One flight—Philadelphia to West Palm Beach, FL—is 953 miles long and costs $110. Which of the following expressions correctly represents the residual for this data point?
a.101.24+0.02977⋅953
b.953-(101.24+0.02977⋅110)
c.(101.24+0.02977⋅110)-953
d.110-(101.24+0.02977⋅953)
e.(101.24+0.02977⋅953)-110