JetBlue Airlines Revenue, 2008-2015 (millions) Year Revenue Year Revenue 3,388 3,286 3,779 4,504 2008 2012 4,982 5,441 5,817 6,416 2009 2013 2010 2014 2011 2015 Click here for the Excel Data File (a) Use Excel, MegaStat, or MINITAB to fit both a linear and an exponential trend to the time series. (Round your answers to 2 decimal places.) Linear Yt = 468.04 2595.5 Exponential 2898.1 0.1014 (b) Make annual forecasts for 2016–2018, using the linear and exponential trend models. (Do not round the intermediate calculations. Round your final answers to 2 decimal places.) Linear Exponential 6807.86 7218.56 9. 10 7275.90 11 7743.94

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Author:Amos Gilat
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JetBlue Airlines Revenue,
2008-2015 (millions)
Year
Revenue
Year
Revenue
3,388
3,286
3,779
4,504
2008
2012
4,982
5,441
5,817
6,416
2009
2013
2010
2014
2011
2015
Click here for the Excel Data File
(a) Use Excel, MegaStat, or MINITAB to fit both a linear and an exponential trend to the time series. (Round your answers to 2 decimal
places.)
Linear
Yt =
468.04
2595.5
Exponential
2898.1
0.1014
(b) Make annual forecasts for 2016–2018, using the linear and exponential trend models. (Do not round the intermediate calculations.
Round your final answers to 2 decimal places.)
Linear
Exponential
6807.86
7218.56
9.
10
7275.90
11
7743.94
Transcribed Image Text:JetBlue Airlines Revenue, 2008-2015 (millions) Year Revenue Year Revenue 3,388 3,286 3,779 4,504 2008 2012 4,982 5,441 5,817 6,416 2009 2013 2010 2014 2011 2015 Click here for the Excel Data File (a) Use Excel, MegaStat, or MINITAB to fit both a linear and an exponential trend to the time series. (Round your answers to 2 decimal places.) Linear Yt = 468.04 2595.5 Exponential 2898.1 0.1014 (b) Make annual forecasts for 2016–2018, using the linear and exponential trend models. (Do not round the intermediate calculations. Round your final answers to 2 decimal places.) Linear Exponential 6807.86 7218.56 9. 10 7275.90 11 7743.94
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