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Rick Rick XavierObs. Period Revenues Fuel Salaries and Wages Capacity Purchases
1 2Q-2000 2,571,000,000 313,000,000 719,000,000 —
2 3Q-2000 2,622,000,000 354,000,000 748,000,000 —
3 4Q-2000 2,429,000,000 392,000,000 736,000,000 —
4 1Q-2001 2,451,000,000 345,000,000 758,000,000 —
5 2Q-2001 2,556,000,000 349,000,000 800,000,000 —
6 3Q-2001 2,223,000,000 322,000,000 779,000,000 —
7 4Q-2001 1,739,000,000 213,000,000 684,000,000 —
8 1Q-2002 1,993,000,000 208,000,000 732,000,000 —
9 2Q-2002 2,192,000,000 254,000,000 746,000,000 —
10 3Q-2002 2,178,000,000 276,000,000 743,000,000 —
11 4Q-2002 2,039,000,000 285,000,000 738,000,000 —
12 1Q-2003 2,042,000,000 347,000,000 778,000,000 —
13 2Q-2003 2,216,000,000 302,000,000 762,000,000 —
14 3Q-2003 2,365,000,000 316,000,000 778,000,000 —
15 4Q-2003 2,247,000,000 290,000,000 738,000,000 158,000,000
16 1Q-2004 2,307,000,000 333,000,000 688,000,000 317,000,000
17 2Q-2004 2,553,000,000 387,000,000 711,000,000 328,000,000
18 3Q-2004 2,602,000,000 414,000,000 703,000,000 347,000,000
19 4Q-2004 2,437,000,000 453,000,000 717,000,000 359,000,000
20 1Q-2005 2,505,000,000 470,000,000 715,000,000 353,000,000
21 2Q-2005 2,857,000,000 575,000,000 649,000,000 382,000,000
22 3Q-2005 3,001,000,000 684,000,000 646,000,000 406,000,000
23 4Q-2005 2,845,000,000 714,000,000 639,000,000 431,000,000
24 1Q-2006 2,947,000,000 672,000,000 661,000,000 415,000,000
25 2Q-2006 3,507,000,000 744,000,000 791,000,000 454,000,000
26 3Q-2006 3,518,000,000 858,000,000 743,000,000 475,000,000
27 4Q-2006 3,156,000,000 760,000,000 680,000,000 447,000,000
28 1Q-2007 3,179,000,000 684,000,000 726,000,000 430,000,000
29 2Q-2007 3,710,000,000 842,000,000 821,000,000 444,000,000
30 3Q-2007 3,820,000,000 895,000,000 836,000,000 446,000,000
31 4Q-2007 3,523,000,000 933,000,000 744,000,000 473,000,000
32 1Q-2008 3,570,000,000 1,048,000,000 729,000,000 506,000,000
33 2Q-2008 4,044,000,000 1,363,000,000 704,000,000 589,000,000
34 3Q-2008 4,072,000,000 1,501,000,000 765,000,000 553,000,000
35 4Q-2008 3,471,000,000 993,000,000 760,000,000 425,000,000
15,157,000,000 4,905,000,000 2,958,000,000 2,073,000,000
Z Rick Z XavierAircraft Rentals Landing Fees Distribution Costs Aircraft Maintenance Depreciation
210,000,000 138,000,000 261,000,000 171,000,000 98,000,000
215,000,000 133,000,000 255,000,000 167,000,000 102,000,000
213,000,000 132,000,000 217,000,000 149,000,000 107,000,000
214,000,000 141,000,000 243,000,000 160,000,000 105,000,000
223,000,000 153,000,000 230,000,000 162,000,000 111,000,000
230,000,000 139,000,000 194,000,000 142,000,000 120,000,000
236,000,000 148,000,000 142,000,000 104,000,000 131,000,000
228,000,000 161,000,000 172,000,000 114,000,000 106,000,000
231,000,000 160,000,000 158,000,000 119,000,000 112,000,000
227,000,000 163,000,000 138,000,000 119,000,000 112,000,000
216,000,000 149,000,000 124,000,000 124,000,000 114,000,000
223,000,000 152,000,000 127,000,000 133,000,000 116,000,000
224,000,000 152,000,000 138,000,000 126,000,000 110,000,000
225,000,000 165,000,000 131,000,000 135,000,000 110,000,000
224,000,000 151,000,000 135,000,000 115,000,000 108,000,000
220,000,000 160,000,000 137,000,000 112,000,000 104,000,000
222,000,000 163,000,000 140,000,000 102,000,000 105,000,000
224,000,000 171,000,000 139,000,000 107,000,000 104,000,000
225,000,000 160,000,000 136,000,000 93,000,000 102,000,000
227,000,000 171,000,000 138,000,000 112,000,000 99,000,000
229,000,000 181,000,000 154,000,000 106,000,000 98,000,000
234,000,000 182,000,000 154,000,000 116,000,000 97,000,000
238,000,000 174,000,000 142,000,000 121,000,000 95,000,000
245,000,000 185,000,000 160,000,000 127,000,000 96,000,000
248,000,000 198,000,000 178,000,000 140,000,000 97,000,000
249,000,000 195,000,000 157,000,000 140,000,000 99,000,000
248,000,000 186,000,000 155,000,000 140,000,000 99,000,000
248,000,000 193,000,000 161,000,000 144,000,000 99,000,000
248,000,000 190,000,000 176,000,000 169,000,000 101,000,000
249,000,000 209,000,000 171,000,000 166,000,000 106,000,000
249,000,000 198,000,000 174,000,000 142,000,000 107,000,000
247,000,000 207,000,000 182,000,000 159,000,000 106,000,000
246,000,000 210,000,000 194,000,000 167,000,000 108,000,000
244,000,000 225,000,000 182,000,000 152,000,000 112,000,000
240,000,000 210,000,000 159,000,000 135,000,000 111,000,000
977,000,000 852,000,000 717,000,000 613,000,000 437,000,000
Sean
Passenger Services Other Expenses
91,000,000 284,000,000
97,000,000 288,000,000
89,000,000 277,000,000
91,000,000 318,000,000
96,000,000 295,000,000
89,000,000 121,000,000
71,000,000 166,000,000
77,000,000 382,000,000
73,000,000 454,000,000
78,000,000 276,000,000
68,000,000 277,000,000
70,000,000 320,000,000
73,000,000 91,000,000
81,000,000 250,000,000
73,000,000 455,000,000
69,000,000 304,000,000
76,000,000 279,000,000
84,000,000 287,000,000
77,000,000 278,000,000
77,000,000 316,000,000
84,000,000 280,000,000
91,000,000 282,000,000
80,000,000 305,000,000
82,000,000 293,000,000
90,000,000 323,000,000
97,000,000 313,000,000
87,000,000 333,000,000
90,000,000 340,000,000
99,000,000 357,000,000
105,000,000 357,000,000
95,000,000 328,000,000
96,000,000 356,000,000
107,000,000 427,000,000
113,000,000 461,000,000
91,000,000 372,000,000
407,000,000 1,616,000,000
Sean
Obs. Period Total Aircraft Leased Aircraft Flights Passengers Available Seat Miles
1 2Q-2000 522 410 97,871 12,084,000 21,384,000,000
2 3Q-2000 535 414 97,967 12,155,000 22,356,000,000
3 4Q-2000 522 398 98,378 11,456,000 21,409,000,000
4 1Q-2001 548 406 98,590 11,220,000 21,459,000,000
5 2Q-2001 557 416 99,018 12,256,000 22,813,000,000
6 3Q-2001 501 377 98,564 11,254,000 21,994,000,000
7 4Q-2001 522 393 81,109 9,508,000 18,219,000,000
8 1Q-2002 538 400 81,883 12,062,000 20,375,000,000
9 2Q-2002 570 404 82,815 13,099,000 22,286,000,000
10 3Q-2002 570 401 81,737 13,006,000 22,626,000,000
11 4Q-2002 554 410 78,809 12,874,000 21,054,000,000
12 1Q-2003 562 419 75,178 11,518,000 20,843,000,000
13 2Q-2003 570 428 75,617 13,044,000 21,241,000,000
14 3Q-2003 570 428 76,297 13,727,000 22,819,000,000
15 4Q-2003 579 434 75,650 13,769,000 21,907,000,000
16 1Q-2004 586 437 74,859 12,810,000 22,670,000,000
17 2Q-2004 587 440 75,816 14,558,000 24,150,000,000
18 3Q-2004 592 445 74,211 14,862,000 24,674,000,000
19 4Q-2004 594 448 74,443 14,252,000 23,588,000,000
20 1Q-2005 598 453 71,494 14,122,000 23,585,000,000
21 2Q-2005 604 459 74,651 15,540,000 25,482,000,000
22 3Q-2005 611 466 74,630 15,905,000 26,833,000,000
23 4Q-2005 622 477 75,886 15,448,000 25,720,000,000
24 1Q-2006 630 483 74,962 15,594,000 26,117,000,000
25 2Q-2006 634 484 77,729 17,596,000 28,259,000,000
26 3Q-2006 648 482 77,468 17,328,000 29,262,000,000
27 4Q-2006 648 480 79,030 16,601,000 27,280,000,000
28 1Q-2007 630 446 78,601 16,176,000 27,250,000,000
29 2Q-2007 625 418 82,582 18,120,000 29,592,000,000
30 3Q-2007 631 415 81,118 17,901,000 30,346,000,000
31 4Q-2007 628 415 80,850 16,733,000 28,550,000,000
32 1Q-2008 641 414 76,719 16,440,000 28,376,000,000
33 2Q-2008 630 390 76,096 17,108,000 30,304,000,000
34 3Q-2008 653 412 78,599 17,962,000 30,383,000,000
35 4Q-2008 632 397 76,000 15,183,000 26,448,000,000
Available Seat Miles Regional Passenger Miles Flown Employees Fuel Price Fuel Consumed
— 16,491,000,000 45,500 $0.80 386,000,000
— 17,325,000,000 46,000 $0.87 398,000,000
— 15,340,000,000 45,944 $0.89 372,000,000
— 15,114,000,000 38,396 $0.86 369,000,000
— 17,053,000,000 39,000 $0.82 391,000,000
— 16,206,000,000 39,500 $0.82 373,000,000
— 12,767,000,000 39,461 $0.83 369,000,000
— 14,867,000,000 40,229 $0.64 308,000,000
— 16,489,000,000 41,011 $0.72 332,000,000
— 16,960,000,000 41,809 $0.76 340,000,000
— 17,252,000,000 40,244 $0.74 316,000,000
1,767,000,000 14,352,000,000 38,960 $1.03 305,000,000
2,073,000,000 16,129,000,000 39,000 $0.88 308,000,000
1,605,000,000 18,041,000,000 39,500 $0.86 330,000,000
2,980,000,000 16,412,000,000 39,000 $0.87 314,000,000
2,400,000,000 16,255,000,000 38,240 $1.04 320,000,000
2,603,000,000 18,735,000,000 37,496 $1.79 347,000,000
1,999,000,000 19,922,000,000 36,766 $1.20 345,000,000
3,408,000,000 18,239,000,000 38,255 $1.19 321,000,000
2,740,000,000 18,112,000,000 41,831 $1.45 324,000,000
3,026,000,000 20,292,000,000 45,742 $1.67 344,000,000
3,112,000,000 21,762,000,000 50,018 $1.88 364,000,000
3,095,000,000 20,033,000,000 42,200 $1.78 344,000,000
3,082,000,000 20,336,000,000 42,600 $1.90 347,000,000
3,374,000,000 23,367,000,000 43,450 $2.11 375,000,000
3,503,000,000 24,042,000,000 41,500 $2.22 387,000,000
3,292,000,000 21,772,000,000 38,033 $2.06 362,000,000
3,126,000,000 21,450,000,000 41,800 $1.90 361,000,000
3,177,000,000 24,623,000,000 43,300 $2.08 395,000,000
3,193,000,000 25,422,000,000 41,400 $2.21 406,000,000
3,104,000,000 22,670,000,000 39,640 $2.50 380,000,000
3,098,000,000 22,280,000,000 43,000 $2.80 375,000,000
3,450,000,000 24,836,000,000 40,100 $3.86 389,000,000
3,390,000,000 24,746,000,000 43,500 $3.45 395,000,000
3,046,000,000 20,825,000,000 42,490 $2.93 339,000,000
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.995571089
R Square 0.991161793
Adjusted R Square 0.961750028
Standard Error 62352744.44
Observations 35
ANOVA
df SS MS
Regression 1 1.48242E+19 1.48242E+19
Residual 34 1.32187E+17 3.88786E+15
Total 35 1.49564E+19
Coefficients Standard Error t Stat
Intercept 0 #N/A #N/A
Amount Spent on fuel 0.999002733 0.016178455 61.7489594
Fuel=.999002733(Fuel Price*Fuel Consumed)
Decreasing flying capacity causes there to be a large spike in fuel consumed
Fuel costs are strcitly variable and reduing flying capacity should have a large impact on cost of fuel
Fuel consumtion is rising, but the price of fuel is falling rapidly
Q1 Q2 Q3
2009 732,728,544.55 889,212,332.64 733,577,696.87
2008 1,048,000,000.00 1,363,000,000.00 1,501,000,000.00
Decrease
F Significance F
3812.933987 1.1069E-35
P-value Lower 95% Upper 95% Lower 95.0%Upper 95.0%
#N/A #N/A #N/A #N/A #N/A
1.67116E-36 0.966124157 1.031881308 0.966124 1.031881
Fuel costs are strcitly variable and reduing flying capacity should have a large impact on cost of fuel
Q4 Total
947,474,172.03 3,302,992,746.09
993,000,000.00 4,905,000,000.00
1,602,007,253.91
0
50000000
100000000
150000000
200000000
250000000
300000000
350000000
400000000
450000000
0 1E+09 2E+09
Fuel Consumed
Fuel Consumed
Linear (Fuel Consumed)
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
0 1E+09
Fuel Price
Fuel Consumed
Linear (Fuel Consumed)
2E+09
Fuel Price
Fuel Price
Linear (Fuel Price)
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.083014392
R Square 0.006891389
Adjusted R Square -0.023202811
Standard Error 47605993.31
Observations 35
ANOVA
df SS MS F Significance F
Regression 1 5.18976E+14 5.18976E+14 0.228993934 0.635426182
Residual 33 7.47889E+16 2.26633E+15
Total 34 7.53079E+16
Coefficients Standard Error t Stat P-value Lower 95%
Intercept 704701747.6 60390402.57 11.66910167 2.96338E-13 581836549.7
Available Seat Miles 0.001163389 0.002431157 0.478533106 0.635426182 -0.003782837
Salaries and wages will be treated as a fixed cost.
Total cost for the year projected 2,818,806,990.36
Reduced by 11 percent 2,508,738,221.42
Difference 310,068,768.94
Salaries and wages will be treated as a fixed cost because this is a very weak regression. The adjusted R squared term is very low, and the related P and T values for the variable compnent are too low to be considred signifigant.
Upper 95% Lower 95.0% Upper 95.0%
827566945.4 581836549.7 827566945.4
0.006109615 -0.003782837 0.006109615
Salaries and wages will be treated as a fixed cost because this is a very weak regression. The adjusted R squared term is very low, and the related P and T values for the variable compnent are too low to be considred signifigant.
0
20000
40000
60000
80000
100000
120000
0 500000000 1E+09
Flights
Flights
Linear (Flights)
Salaries and wages will be treated as a fixed cost because this is a very weak regression. The adjusted R squared term is very low, and the related P and T values for the variable compnent are too low to be considred signifigant.
Linear (Flights)
Passengers Passenger Services SUMMARY OUTPUT
12,084,000 91,000,000
12,155,000 97,000,000 Regression Statistics
11,456,000 89,000,000 Multiple R 0.580334066
11,220,000 91,000,000 R Square 0.336787628
12,256,000 96,000,000 Adjusted R Square 0.316690284
11,254,000 89,000,000 Standard Error 9474685.77
9,508,000 71,000,000 Observations 35
12,062,000 77,000,000
13,099,000 73,000,000 ANOVA
13,006,000 78,000,000 df
12,874,000 68,000,000 Regression 1
11,518,000 70,000,000 Residual 33
13,044,000 73,000,000 Total 34
13,727,000 81,000,000
13,769,000 73,000,000 Coefficients
12,810,000 69,000,000 Intercept 44584951.03319
14,558,000 76,000,000 Passengers 2.87425
14,862,000 84,000,000
14,252,000 77,000,000
14,122,000 77,000,000
15,540,000 84,000,000
15,905,000 91,000,000
15,448,000 80,000,000
15,594,000 82,000,000
17,596,000 90,000,000 Quarter 1
17,328,000 97,000,000
2009 Forcasted Passenger
Services Cost85,997,146.24$
16,601,000 87,000,000 2008 Passenger Services Cost 96,000,000.00$
16,176,000 90,000,000
18,120,000 99,000,000
17,901,000 105,000,000
16,733,000 95,000,000
16,440,000 96,000,000
17,108,000 107,000,000
17,962,000 113,000,000
15,183,000 91,000,000
Y= 44,584,951.03+2.87425(x)
SS MS F
1.50434E+15 1.50434E+15 16.75781726
2.9624E+15 8.97697E+13
4.46674E+15
Standard Error t Stat P-value
10222241.76293 4.36156 0.00012
0.70213 4.09363 0.00026
2009 Forecasted # of Passengers
14,408,000
16,348,000
16,795,000
15,258,000
2 3 4
91,573,191.40$ 92,857,981.19$ 88,440,258.81$
107,000,000.00$ 113,000,000.00$ 91,000,000.00$
Significance F
0.000257729
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
23787643.79227 65382258.27410 23787643.79227 65382258.27410
1.44576 4.30274 1.44576 4.30274
Total
358,868,577.64$
407,000,000.00$
0
20,000,000
40,000,000
60,000,000
80,000,000
100,000,000
120,000,000
0 5,000,00010,000,00015,000,00020,000,000
Passenger Services
Passenger Services
Linear (PassengerServices)
Passenger Services
Linear (PassengerServices)
Revenues Distribution Costs SUMMARY OUTPUT
2,571,000,000 261,000,000
2,622,000,000 255,000,000 Regression Statistics
2,429,000,000 217,000,000 Multiple R 0.2010272
2,451,000,000 243,000,000 R Square 0.0404119
2,556,000,000 230,000,000 Adjusted R Square 0.0113335
2,223,000,000 194,000,000 Standard Error 36073252
1,739,000,000 142,000,000 Observations 35
1,993,000,000 172,000,000
2,192,000,000 158,000,000 ANOVA
2,178,000,000 138,000,000 df SS
2,039,000,000 124,000,000 Regression 1 1.80846E+15
2,042,000,000 127,000,000 Residual 33 4.29422E+16
2,216,000,000 138,000,000 Total 34 4.47507E+16
2,365,000,000 131,000,000
2,247,000,000 135,000,000 Coefficients Standard Error
2,307,000,000 137,000,000 Intercept 135333159 27757926.72
2,553,000,000 140,000,000 Revenues 0.0114614 0.0097223
2,602,000,000 139,000,000
2,437,000,000 136,000,000 Fixed Cost
2,505,000,000 138,000,000 135,333,159.00$
2,857,000,000 154,000,000 Estimated Distribution Costs for 2009
3,001,000,000 154,000,000 135333159*4 =
2,845,000,000 142,000,000
2,947,000,000 160,000,000 Distribution Costs 2008
3,507,000,000 178,000,000 Quarter 1 182,000,000
3,518,000,000 157,000,000 Quarter 2 194,000,000
3,156,000,000 155,000,000 Quarter 3 182,000,000
3,179,000,000 161,000,000 Quarter 4 159,000,000
3,710,000,000 176,000,000 Total 717,000,000
3,820,000,000 171,000,000
3,523,000,000 174,000,000
3,570,000,000 182,000,000
4,044,000,000 194,000,000
4,072,000,000 182,000,000
3,471,000,000 159,000,000
50000000
100000000
150000000
200000000
250000000
300000000
MS F Significance F
1.80846E+15 1.389756836 0.246876514
1.30128E+15
t Stat P-value Lower 95% Upper 95%Lower 95.0%Upper 95.0%
4.875477915 2.66112E-05 78859232.16 1.92E+08 78859232 1.92E+08
1.178879483 0.246876514 -0.008318748 0.031242 -0.00832 0.031242
Cost function only seems to reflect fixed costs, despite fact that for last 3 years relationship is quite linear
Estimated Distribution Costs for 2009 Reduced by 11%
541,332,636.00$ 481,786,046.04$
Distribution Costs 2008
0
50000000
100000000
150000000
200000000
250000000
300000000
0 500000000 1E+09 1.5E+09 2E+09 2.5E+09 3E+09 3.5E+09
Distribution Costs
Cost function only seems to reflect fixed costs, despite fact that for last 3 years relationship is quite linear
4E+09 4.5E+09
Distribution Costs
Linear (Distribution Costs)
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.985004036
R Square 0.970232952
Adjusted R Square 0.920232952
Standard Error 75217551.12
Observations 21
ANOVA
df
Regression 1
Residual 20
Total 21
Coefficients
Intercept 0
Regional Seat Miles Available 0.136168028
Regional Capacity Purchases is strictly variable relating to the regional seat miles available. Reducing capacity 11 percent will reduce seat miles available and make this cost lower.
Regional capacit purchases=.136168028(Regional Available Seat Miles)
2009
2008
Decrease
SS MS F Significance F
3.68815E+18 3.68815E+18 651.8838822 3.60993E-16
1.13154E+17 5.65768E+15
3.8013E+18
Standard Error t Stat P-value Lower 95% Upper 95%
#N/A #N/A #N/A #N/A #N/A
0.005333226 25.53201681 9.75696E-17 0.125043113 0.147292944
Regional Capacity Purchases is strictly variable relating to the regional seat miles available. Reducing capacity 11 percent will reduce seat miles available and make this cost lower.
Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total
404,555,212.19$ 414,495,478.26$ 426,205,928.70$ 408,776,421.07$ 1,654,033,040.21$
506,000,000 589,000,000 553,000,000 425,000,000 2,073,000,000.00$
418,966,959.79$
Lower 95.0%Upper 95.0%
#N/A #N/A
0.125043 0.147293
Available Seat Miles Aircraft Rentals SUMMARY OUTPUT
21,384,000,000 210,000,000
22,356,000,000 215,000,000 Regression Statistics
21,409,000,000 213,000,000 Multiple R
21,459,000,000 214,000,000 R Square
22,813,000,000 223,000,000 Adjusted R Square
21,994,000,000 230,000,000 Standard Error
18,219,000,000 236,000,000 Observations
20,375,000,000 228,000,000
22,286,000,000 231,000,000 ANOVA
22,626,000,000 227,000,000
21,054,000,000 216,000,000 Regression
20,843,000,000 223,000,000 Residual
21,241,000,000 224,000,000 Total
22,819,000,000 225,000,000
21,907,000,000 224,000,000
22,670,000,000 220,000,000 Intercept
24,150,000,000 222,000,000 Available Seat Miles
24,674,000,000 224,000,000
23,588,000,000 225,000,000 Y= a+bX+e
23,585,000,000 227,000,000 157601796 + .0030209(X)
25,482,000,000 229,000,000 X= Available Seat Miles
26,833,000,000 234,000,000
25,720,000,000 238,000,000
26,117,000,000 245,000,000
28,259,000,000 248,000,000
29,262,000,000 249,000,000
27,280,000,000 248,000,000
27,250,000,000 248,000,000
29,592,000,000 248,000,000 2009 Aircraft Rental Cost (11% Reduction)
30,346,000,000 249,000,000 2008 Aircraft Rental Cost
28,550,000,000 249,000,000
28,376,000,000 247,000,000
30,304,000,000 246,000,000
30,383,000,000 244,000,000
26,448,000,000 240,000,000
Regression Statistics
0.81756494
0.668412431
0.658364323
7252693.232
35
df SS MS F Significance F
1 3.49912E+15 3.49912E+15 66.52122173 2.0454E-09
33 1.73585E+15 5.26016E+13
34 5.23497E+15
Coefficients Standard Error t Stat P-value Lower 95%
157,601,796.05 9200376.541 17.12992891 5.48273E-18 138883489.2
0.003020861 0.000370383 8.156054299 2.0454E-09 0.002267312
Projected Number of Seat Miles
Quarter 1 26,323,000,000.00
Quarter 2 28,007,000,000.00
Quarter 3 28,933,000,000.00
Quarter 4 26,291,000,000.00
Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total
237,120,946.70$ 242,208,142.30$ 245,186,749.70$ 237,024,277.90$ 961,540,116.60$
247,000,000.00$ 246,000,000.00$ 244,000,000.00$ 240,000,000.00$ 977,000,000.00$
If available seat miles is the seats available multiplied by
the miles flown then an increase in seat miles means
more miles are flown so more aircrafts need to be
rented
Upper 95% Lower 95.0%Upper 95.0%
176320102.9 1.39E+08 1.76E+08
0.00377441 0.002267 0.003774
If available seat miles is the seats available multiplied by
the miles flown then an increase in seat miles means
more miles are flown so more aircrafts need to be
rented
200000000
210000000
220000000
230000000
240000000
250000000
260000000
0 4E+10
Aircraft Rentals
Aircraft Rentals
Linear (AircraftRentals)
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.897480504
R Square 0.805471254
Adjusted R Square0.799576444
Standard Error 11200220.33
Observations 35
ANOVA
df SS MS F Significance F
Regression 1 1.71409E+16 1.71409E+16 136.6407382 2.82912E-13
Residual 33 4.13968E+15 1.25445E+14
Total 34 2.12806E+16
Coefficients Standard Error t Stat P-value Lower 95%
Intercept 32062649.06 12083921.59 2.653331438 0.012162632 7477725.727
Passengers 9.702143145 0.829999017 11.68934293 2.82912E-13 8.013497448
Landing Fees=32062649+9.702143(Passengers)
Landing fees are driven by the number of passengers, since it relates to the amount paid to the airports for security fees.
mostly fixed cost, reducing flight capacity will not affect greatly
Q1 Q2 Q3 Q4 Total
2009 171,851,125.34 190,673,282.76 195,010,140.69 180,097,946.89 737,632,495.69
2008 207,000,000 210,000,000 225,000,000 210,000,000 852,000,000
Decrease 114,367,504.31
Reduction in capacity causes the amount of passengers flown to be lower leading to lower costs in landing fees
Upper 95%Lower 95.0%Upper 95.0%
56647572 7477726 56647572
11.39079 8.013497 11.39079
Landing fees are driven by the number of passengers, since it relates to the amount paid to the airports for security fees.
Reduction in capacity causes the amount of passengers flown to be lower leading to lower costs in landing fees
0
2000000
4000000
6000000
8000000
10000000
12000000
14000000
16000000
18000000
20000000
0 100000000 200000000 300000000
Passengers
Passengers
Linear (Passengers)
Passengers
Linear (Passengers)
Passenger Miles
Flown Depreciation SUMMARY OUTPUT
16,491,000,000 98,000,000
17,325,000,000 102,000,000 Regression Statistics
15,340,000,000 107,000,000 Multiple R 0.46439235
15,114,000,000 105,000,000 R Square 0.215660254
17,053,000,000 111,000,000 Adjusted R Square 0.191892383
16,206,000,000 120,000,000 Standard Error 6823133.277
12,767,000,000 131,000,000 Observations 35
14,867,000,000 106,000,000
16,489,000,000 112,000,000 ANOVA
16,960,000,000 112,000,000 df
17,252,000,000 114,000,000 Regression 1
14,352,000,000 116,000,000 Residual 33
16,129,000,000 110,000,000 Total 34
18,041,000,000 110,000,000
16,412,000,000 108,000,000 Coefficients
16,255,000,000 104,000,000 Intercept 125530857.10406
18,735,000,000 105,000,000 Passenger Miles Flown -0.00102
19,922,000,000 104,000,000
18,239,000,000 102,000,000 Y= 186824822.92
18,112,000,000 99,000,000 No strong linear relationship
20,292,000,000 98,000,000 Depreciation accounts for only fixed cost
21,762,000,000 97,000,000 Fixed Cost Forecasted= 502,123,428.42$
20,033,000,000 95,000,000 Cost Reduced by 11%= 446,889,851.29$ 20,336,000,000 96,000,000
23,367,000,000 97,000,000
24,042,000,000 99,000,000
21,772,000,000 99,000,000
21,450,000,000 99,000,000
24,623,000,000 101,000,000
25,422,000,000 106,000,000
22,670,000,000 107,000,000
22,280,000,000 106,000,000
24,836,000,000 108,000,000
24,746,000,000 112,000,000
20,825,000,000 111,000,000
SS MS F Significance F
4.22423E+14 4.22423E+14 9.073604177 0.00494878
1.53632E+15 4.65551E+13
1.95874E+15
Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0%
6613619.42649 18.98066 0.00000 112075347.20935 138986366.99876 112075347.20935
0.00034 -3.01224 0.00495 -0.00172 -0.00033 -0.00172
0
20,000,000
40,000,000
60,000,000
80,000,000
100,000,000
120,000,000
140,000,000
0 10,000,000,000
Depreciation
Upper 95.0%
138986366.99876
-0.00033
10,000,000,000 20,000,000,000 30,000,000,000
Depreciation
Depreciation
Revenues Other Expenses SUMMARY OUTPUT
2,571,000,000 284,000,000
2,622,000,000 288,000,000 Regression Statistics
2,429,000,000 277,000,000 Multiple R 0.476152928
2,451,000,000 318,000,000 R Square 0.226721611
2,556,000,000 295,000,000 Adjusted R Square 0.203288932
2,223,000,000 121,000,000 Standard Error 70685994.77
1,739,000,000 166,000,000 Observations 35
1,993,000,000 382,000,000
2,192,000,000 454,000,000 ANOVA
2,178,000,000 276,000,000 df
2,039,000,000 277,000,000 Regression 1
2,042,000,000 320,000,000 Residual 33
2,216,000,000 91,000,000 Total 34
2,365,000,000 250,000,000
2,247,000,000 455,000,000 Coefficients
2,307,000,000 304,000,000 Intercept 144801168.14111
2,553,000,000 279,000,000 Revenues 0.05926
2,602,000,000 287,000,000
2,437,000,000 278,000,000
2,505,000,000 316,000,000
2,857,000,000 280,000,000
3,001,000,000 282,000,000
2,845,000,000 305,000,000
2,947,000,000 293,000,000
3,507,000,000 323,000,000
3,518,000,000 313,000,000
3,156,000,000 333,000,000 Quarters 1
3,179,000,000 340,000,000
2009 11% Other
Expenses Reduction 320,325,626.77$
3,710,000,000 357,000,000 2008 Other Expenses 356,000,000
3,820,000,000 357,000,000
3,523,000,000 328,000,000
3,570,000,000 356,000,000
4,044,000,000 427,000,000
4,072,000,000 461,000,000
3,471,000,000 372,000,000
SS MS F Significance F
4.83435E+16 4.83435E+16 9.675445822 0.003835676
1.64885E+17 4.99651E+15
2.13228E+17
Standard Error t Stat P-value Lower 95%
54392009.55427 2.66218 0.01190 34139792.64395
0.01905 3.11054 0.00384 0.02050
Y=144801168.14111+.05926(X)
Forecasted Revenues
$ 2,962,000,000
$ 2,767,000,000
$ 2,947,000,000
$ 2,462,000,000
2 3 4 Total
308,770,167.82$ 319,436,745.32$ 290,696,244.83$ 1,239,228,784.74$
427,000,000 461,000,000 372,000,000 1,616,000,000.00$
Upper 95% Lower 95.0% Upper 95.0%
255462543.63828 34139792.64395 255462543.63828
0.09802 0.02050 0.09802
Remember to note in memo the reduction in fixed cost that should be implemented
0
50,000,000
100,000,000
150,000,000
200,000,000
250,000,000
300,000,000
350,000,000
400,000,000
450,000,000
500,000,000
0 4,000,000,000
Other Expenses
Other Expenses
Linear (Other Expenses)
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.991242687
R Square 0.982562064
Adjusted R Square 0.953150299
Standard Error 18191396.15
Observations 35
ANOVA
df SS MS
Regression 1 6.3398E+17 6.3398E+17
Residual 34 1.12515E+16 3.30927E+14
Total 35 6.45232E+17
Coefficients Standard Error t Stat
Intercept 0 #N/A #N/A
Flights 1652.696052 37.75905147 43.76953306
Aircraft Maintenance=1652.696052(number of flights)
Quarter 1 2 3
2009 Forcasted Maintence Cost 113,043,773.67 113,043,773.67 113,043,773.67
2008 Maintanence Cost 159,000,000 167,000,000 152,000,000
F Significance F
1915.772025 8.26631E-31
P-value Lower 95% Upper 95% Lower 95.0%Upper 95.0%
#N/A #N/A #N/A #N/A #N/A
1.74594E-31 1575.960426 1729.431677 1575.96 1729.432
76,719
4 Total 76,096
113,043,773.67 452,175,094.68 78,599
135,000,000 613,000,000.00$ 76,000
76,854
68399.62
0
20000
40000
60000
80000
100000
120000
0 50000000 100000000
100000000 150000000 200000000
#REF!
#REF!
Linear (#REF!)
2008 2009
Revenues 15,157,000,000.00$ 11,138,000,000.00$
Projected Operating cost:
Salaries and wages 2,958,000,000.00$ 2,508,738,221.42$
Aircraft fuel & related taxes 4,905,000,000.00$ 3,302,992,746.09$
Aircraft rentals 977,000,000.00$ 961,540,116.60$
Landing fees 852,000,000.00$ 737,632,495.69$
Aircraft maintenance & repairs 613,000,000.00$ 452,175,094.68$
Depreciation & amortization 437,000,000.00$ 446,889,851.29$ Distribution costs 717,000,000.00$ 481,786,046.04$
Passenger services 407,000,000.00$ 358,868,577.64$
Regional capacity purchases 2,073,000,000.00$ 1,654,033,040.21$
Other expenses 1,616,000,000.00$ 290,696,244.83$
Total operating cost 15,555,000,000.00$ 11,195,352,434.49$
Expected profit(loss) (398,000,000.00)$ (57,352,434.49)$
Difference 2008 to 2009 Further Cost Reductions Difference
11,138,000,000.00$
449,261,778.58$ 2,433,476,074.78$ 75,262,146.64
1,602,007,253.91$ 3,302,992,746.09$
15,459,883.40$ 961,540,116.60$
114,367,504.31$ 737,632,495.69$
160,824,905.32$ 452,175,094.68$
(9,889,851.29)$ 446,889,851.29$
235,213,953.96$ 481,786,046.04$
48,131,422.36$ 340,925,148.75$ 17,943,428.88
418,966,959.79$ 1,654,033,040.21$
1,325,303,755.17$ 290,696,244.83$
4,359,647,565.51$ 11,102,146,858.96$
35,853,141.04$
*To forecast number of flights we used the average number of flights from the last four quarters and reduced this by 11 percent
number of flights=68399.32
*To forecast number of flights we used the average number of flights from the last four quarters and reduced this by 11 percent