- The Department of Transportation regularly collects and publishes data on airline performance. To
see if there is a relationship between flight problems, such as delays or cancellations, and rates of
mishandled baggage, a linear regression was computed for U.S. airlines from January to June 2014.
The regression output is displayed below.
Dependent variable is baggage
No selector
R squared = 78.9% R squared (adjusted) = 78.2%
s = 0.25.05 with 32 – 2 = 30 degrees of freedom (df)
Which of the following statements is true, based on the computer output?
(A) An airline with one more mishandled baggage complaint than another tends to have about
10.5234 fewer flight problems on average.
(B) An airline with one more mishandled baggage complaint than another tends to have about
0.5101 more flight problems on average.
(C) An airline with one more flight problem than another tends to have about 10.5234 fewer
baggage complaints on average.
(D) An airline with one more flight problem than another tends to have about 0.5101 more baggage
complaints on average.
(E) An airline with one more flight problem than another tends to have about 5.6564 fewer baggage
complaints on average.
For 2015 midsize cars, the regression equation for predicting combined fuel economy (miles per
gallon) from the engine size (in liters) is ŷ = 36–3.57x , where y is the combined fuel economy and x
is the engine size. One car with a 2 L engine has a combined fuel economy of 40 mpg. Which
statement about this car’s residual is true?
(A) The residual is –11.14, which means this car gets 11.14 mpg less than the model predicts.
(B) The residual is –11.14, which means this car gets 11.14 mpg more than the model predicts.
(C) The residual is 11.14, which means this car gets 11.14 mpg less than the model predicts.
(D) The residual is 11.14, which means this car gets 11.14 mpg more than the model predicts.
(E) The residual is 28.86, which means this car gets 28.86 mpg more than the model predicts.