Air travel Mountain Airlines for the past 18 weeks was: Week Passengers 1 405 2 410 3 420 4 415 5 412 6 420 7 424 8 433 9 438 10 440 11 446 12 451 13 455 14 464 15 466 16 474 17 476 18 482 a. Explain why an averaging technique would not be appropriate for forecasting. b. Use an appropriate technique to develop a forecast for the expected number of passengers for the next three weeks. (Teacher said Linear Trend Model) The teacher wants us to use the linear trend model. Thank you! Solution Putting the data into Excel and plotting, we get the following trend analysis The equation for the line is: y = 4.5934x + 396.97 To get the estimate for the next three weeks (week 19, 20 and 21) we plug those values in for x. y(21) = 4.5934(19) + 396.97 = 484.2446 y(22) = 4.5934(20) + 396.97 = 488.838 y(23) = 4.5934(21) + 396.97 = 493.4314 .

1. Air travel Mountain Airlines for the past 18 weeks was: Week Passengers
1 405
2 410
3 420
4 415
5 412
6 420
7 424
8 433
9 438
10 440
11 446
12 451
13 455
14 464
15 466
16 474
17 476
18 482
a. Explain why an averaging technique would not be appropriate for forecasting. b. Use an
appropriate technique to develop a forecast for the expected number of passengers for the next
three weeks. (Teacher said Linear Trend Model) The teacher wants us to use the linear trend
model. Thank you!

2. Solution
Putting the data into Excel and plotting, we get the following trend analysis
The equation for the line is:
y = 4.5934x + 396.97
To get the estimate for the next three weeks (week 19, 20 and 21) we plug those values in for x.
y(21) = 4.5934(19) + 396.97 = 484.2446
y(22) = 4.5934(20) + 396.97 = 488.838
y(23) = 4.5934(21) + 396.97 = 493.4314