U.S. Manufactured General Aviation Shipments, 2009–2015 | |||||||||||||||||||||
Year | Qtr 1 | Qtr 2 | Qtr 3 | Qtr 4 | Total | ||||||||||||||||
2009 | 301 | 404 | 395 | 471 | 1,571 | ||||||||||||||||
2010 | 234 | 361 | 272 | 420 | 1,287 | ||||||||||||||||
2011 | 266 | 287 | 286 | 468 | 1,307 | ||||||||||||||||
2012 | 320 | 353 | 337 | 509 | 1,519 | ||||||||||||||||
2013 | 328 | 414 | 346 | 517 | 1,605 | ||||||||||||||||
2014 | 335 | 371 | 378 | 529 | 1,613 | ||||||||||||||||
2015 | 287 | 353 | 362 | 560 | 1,562 | ||||||||||||||||
(c) Use MegaStat or Minitab to calculate
estimated seasonal indexes and trend. (Round your answers
to 3 decimal places.)
Qtr1 Index |
Qtr2 Index |
Qtr3 Index |
Qtr4 Index |
|||||||||||
By using minitab :
Fitted Trend Equation
Yt = 343.3 + 2.100×t
Seasonal Indices
Period Index
1 -61.172
2 -21.672
3 -41.109
4 123.953
Output:
General Aviation Shipments | TREN1 | SEAS1 |
301 | 345.3605 | -61.1719 |
404 | 347.4607 | -21.6719 |
395 | 349.561 | -41.1094 |
471 | 351.6613 | 123.9531 |
234 | 353.7616 | -61.1719 |
361 | 355.8619 | -21.6719 |
272 | 357.9622 | -41.1094 |
420 | 360.0624 | 123.9531 |
266 | 362.1627 | -61.1719 |
287 | 364.263 | -21.6719 |
286 | 366.3633 | -41.1094 |
468 | 368.4636 | 123.9531 |
320 | 370.5639 | -61.1719 |
353 | 372.6641 | -21.6719 |
337 | 374.7644 | -41.1094 |
509 | 376.8647 | 123.9531 |
328 | 378.965 | -61.1719 |
414 | 381.0653 | -21.6719 |
346 | 383.1656 | -41.1094 |
517 | 385.2658 | 123.9531 |
335 | 387.3661 | -61.1719 |
371 | 389.4664 | -21.6719 |
378 | 391.5667 | -41.1094 |
529 | 393.667 | 123.9531 |
287 | 395.7673 | -61.1719 |
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