NORTH–SOUTH AIRLINE CASENorthern Airline DataAirframe CostEngine CostAverage AgeYearper Aircraftper Aircraft(Hours)200151.8043.496,512200254.9238.588,404200369.7051.4811,077200468.9058.7211,717200563.7245.4713,2752006 84.7350.2615,215200778.7479.6018,390Southeast Airline DataAirframe CostEngine CostAverage AgeYearPer Aircraftper Aircraft(Hours)200113.2918.865,107200225.1531.558,145200332.1840.437,360200431.7822.105,773200525.3419.697,150200632.7832.589,364200735.5638.078,2591. Develop Regression equations
NORTH–SOUTH AIRLINE CASENorthern Airline DataAirframe CostEngine CostAverage AgeYearper Aircraftper Aircraft(Hours)200151.8043.496,512200254.9238.588,404200369.7051.4811,077200468.9058.7211,717200563.7245.4713,2752006 84.7350.2615,215200778.7479.6018,390Southeast Airline DataAirframe CostEngine CostAverage AgeYearPer Aircraftper Aircraft(Hours)200113.2918.865,107200225.1531.558,145200332.1840.437,360200431.7822.105,773200525.3419.697,150200632.7832.589,364200735.5638.078,2591. Develop Regression equations
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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NORTH–SOUTH AIRLINE CASENorthern Airline DataAirframe CostEngine CostAverage AgeYearper Aircraftper Aircraft(Hours)200151.8043.496,512200254.9238.588,404200369.7051.4811,077200468.9058.7211,717200563.7245.4713,2752006 84.7350.2615,215200778.7479.6018,390Southeast Airline DataAirframe CostEngine CostAverage AgeYearPer Aircraftper Aircraft(Hours)200113.2918.865,107200225.1531.558,145200332.1840.437,360200431.7822.105,773200525.3419.697,150200632.7832.589,364200735.5638.078,2591. Develop Regression equations for each cost category as dependent variables and average age as independent variables. Do this for each Airline. Look at graphs produced by QM2. From the regression results, what would you conclude about
a) airframe vs engine costs for each airlineb) comparing airlines as to airframe costsc) comparing airlines as to engine costsd) Provide a brief summary report of your comparisons

Transcribed Image Text:9. NORTH-SOUTH AIRLINE CASE
Northern Airline Data
Airframe Cost
Engine Cost
Average Age
(Hours)
6,512
8,404
11,077
11,717
13,275
15,215
18,390
per Aircraft
51.80
per Aircraft
43.49
38.58
Year
2001
2002
54.92
2003
69.70
51.48
2004
68.90
58.72
2005
63.72
45.47
2006
84.73
50.26
2007
78.74
79.60
Southeast Airline Data
Engine Cost
per Aircraft
18.86
Airframe Cost
Average Age
(Hours)
5,107
8,145
7,360
5,773
7,150
9,364
8,259
Year
Per Aircraft
2001
13.29
2002
25.15
31.55
2003
32.18
40.43
2004
31.78
22.10
2005
25.34
19.69
2006
32.78
32.58
2007
35.56
38.07
1. Develop Regression equations for each cost category as dependent variables and average age
as independent variables. Do this for each Airline. Look at graphs produced by QM
2. From the regression results, what would you conclude about

Transcribed Image Text:a) airframe vs engine costs for each airline
b) comparing airlines as to airframe costs
c) comparing airlines as to engine costs
d) Provide a brief summary report of your comparisons.
Expert Solution

Step 1
Given information:
The data represents the northern airline data and southern airline data.
The independent variable is Average age.
The dependent variables are airframe cost and engine cost.
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