Estimated regression equation


Although delays at major airports are now less frequent, it helps to know which airports are likely to throw off your schedule In addition, if your plane is late arriving at a particular airport where you must make a connection, how likely is it that the departure will be late and thus increase your chances of making the connection? The following data show the percentage of late arrivals and departures during August for 13 airports (Business 2.0, February 2002). Excel or Minitab users: The data set is available in the file named Airport. All data sets can be found in your eBook or on your Student CD.


Late Arrivals

Late Departures

Airport

(% )

(% )

Atlanta

24

22

Charlotte

20

20

Chicago

30

29

Cincinnati

20

19

Dallas

20

22

Denver

23

23

Detroit

18

19

Houston

20

16

Minneapolis

18

18

Phoenix

21

22

Pittsburgh

25

22

Salt Lake City

18

17

St. Louis

16

16

1. Compute b1 and b0 (to 2 decimals).
b1 Answer = ________
b0 Answer = ________

2. Complete the estimated regression equation (to 2 decimals).
Y=________+_________x

3. A one percent increase in the percentage of late arrivals will increase the percentage of late departures by (to 2 decimals)
Answer ________%

4. Suppose the percentage of late arrivals at the Philadelphia airport for August was 22%. What is an estimate of the percentage of late departures (to 2 decimals)?
Answer ________%

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Basic Statistics: Estimated regression equation
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