Multiple Linear Regression - Estimated Regression Equation
passagiers[t] = + 1103434.48290598 + 39211.5512820513dummy[t] -80404.4081196578M1[t] -43907.2414529915M2[t] + 169196.758547009M3[t] + 355160.758547008M4[t] + 438173.425213675M5[t] + 454553.091880342M6[t] + 702503.666666667M7[t] + 602327.166666667M8[t] + 535466.5M9[t] + 382660.333333333M10[t] + 111028.833333333M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1103434.4829059839892.2954827.660300
dummy39211.551282051326432.2024111.48350.1432710.071635
M1-80404.408119657855199.091154-1.45660.1505210.075261
M2-43907.241452991555199.091154-0.79540.429550.214775
M3169196.75854700955199.0911543.06520.0032780.001639
M4355160.75854700855199.0911546.434200
M5438173.42521367555199.0911547.938100
M6454553.09188034255199.0911548.234800
M7702503.66666666755023.01704912.767500
M8602327.16666666755023.01704910.946800
M9535466.555023.0170499.731700
M10382660.33333333355023.0170496.954600
M11111028.83333333355023.0170492.01790.0481610.02408


Multiple Linear Regression - Regression Statistics
Multiple R0.947095602577047
R-squared0.89699008042078
Adjusted R-squared0.87603891033687
F-TEST (value)42.8133644483026
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation95302.661114966
Sum Squared Residuals535873235720.049


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19213651023030.07478632-101665.074786323
29879211059527.24145299-71606.2414529915
311326141272631.24145299-140017.241452991
413322241458595.24145299-126371.241452992
514181331541607.90811966-123474.908119658
614115491557987.57478632-146438.574786325
716959201805938.14957265-110018.14957265
816361731705761.64957265-69588.6495726496
915396531638900.98290598-99247.982905983
1013953141486094.81623932-90780.8162393165
1111275751214463.31623932-86888.3162393164
1210360761103434.48290598-67358.4829059828
139892361023030.07478633-33794.0747863252
1410083801059527.24145299-51147.2414529915
1512077631272631.24145299-64868.2414529915
1613688391458595.24145299-89756.2414529915
1714697981541607.90811966-71809.9081196581
1814987211557987.57478632-59266.5747863248
1917617691805938.14957265-44169.1495726496
2016532141705761.64957265-52547.6495726497
2115991041638900.98290598-39796.9829059829
2214211791486094.81623932-64915.8162393162
2311639951214463.31623932-50468.3162393162
2410377351103434.48290598-65699.4829059829
2510154071023030.07478633-7623.07478632524
2610392101059527.24145299-20317.2414529915
2712580491272631.24145299-14582.2414529914
2814694451458595.2414529910849.7585470085
2915523461541607.9081196610738.0918803419
3015491441557987.57478632-8843.5747863248
3117858951805938.14957265-20043.1495726496
3216623351705761.64957265-43426.6495726497
3316294401638900.98290598-9460.98290598299
3414674301486094.81623932-18664.8162393162
3512022091214463.31623932-12254.3162393162
3610769821103434.48290598-26452.4829059829
3710393671023030.0747863316336.9252136748
3810634491059527.241452993921.75854700857
3913351351272631.2414529962503.7585470086
4014916021458595.2414529933006.7585470085
4115919721541607.9081196650364.0918803418
4216412481557987.5747863283260.4252136751
4318988491805938.1495726592910.8504273505
4417985801705761.6495726592818.3504273505
4517624441638900.98290598123543.017094017
4616220441486094.81623932135949.183760684
4713689551214463.31623932154491.683760684
4812629731103434.48290598159538.517094017
4911956501023030.07478633172619.925213675
5012695301059527.24145299210002.758547009
5114792791272631.24145299206647.758547009
5216078191458595.24145299149223.758547009
5317124661541607.90811966170858.091880342
5417217661557987.57478632163778.425213675
5519498431845149.7008547104693.299145299
5618213261744973.200854776352.7991452992
5717578021678112.5341880379689.4658119659
5815903671525306.3675213765060.6324786325
5912606471253674.867521376972.13247863248
6011492351142646.034188036588.9658119657
6110163671062241.62606838-45874.6260683764
6210278851098738.79273504-70853.7927350427
6312621591311842.79273504-49683.7927350427
6415208541497806.7927350423047.2072649573
6515441441580819.45940171-36675.4594017094
6615647091597199.12606838-32490.1260683761
6718217761845149.7008547-23373.7008547008
6817413651744973.2008547-3608.20085470079
6916233861678112.53418803-54726.5341880341
7014986581525306.36752137-26648.3675213674
7112418221253674.86752137-11852.8675213675
7211360291142646.03418803-6617.0341880343


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1515789920530530.3031579841061050.848421007946947
170.0919875358194990.1839750716389980.908012464180501
180.09468737213509370.1893747442701870.905312627864906
190.07098856106600780.1419771221320160.929011438933992
200.03758185795255530.07516371590511050.962418142047445
210.02711934876733290.05423869753466570.972880651232667
220.01587571079420360.03175142158840720.984124289205796
230.009690661610528170.01938132322105630.990309338389472
240.005378191181574010.0107563823631480.994621808818426
250.0047473366734910.0094946733469820.99525266332651
260.003161290198300630.006322580396601250.9968387098017
270.005639844305624170.01127968861124830.994360155694376
280.01530261015970990.03060522031941980.98469738984029
290.0245602879796670.0491205759593340.975439712020333
300.03190792556511280.06381585113022570.968092074434887
310.03251495055714480.06502990111428950.967485049442855
320.03368702663321770.06737405326643550.966312973366782
330.03666498631525940.07332997263051870.96333501368474
340.04813198930673040.09626397861346080.95186801069327
350.06142950574419650.1228590114883930.938570494255804
360.09502367693162950.1900473538632590.90497632306837
370.1143810092063470.2287620184126930.885618990793653
380.1533299800412510.3066599600825030.846670019958749
390.266960788628740.5339215772574790.73303921137126
400.3952594027914860.7905188055829710.604740597208514
410.4867489196228980.9734978392457970.513251080377102
420.5928438474731920.8143123050536170.407156152526808
430.737897449097130.5242051018057380.262102550902869
440.8556741432190.2886517135620.144325856781
450.899469821754190.2010603564916190.10053017824581
460.9360096995312450.127980600937510.0639903004687551
470.9451726975502190.1096546048995620.054827302449781
480.9511457984459150.09770840310816920.0488542015540846
490.9421992371510570.1156015256978860.0578007628489428
500.9511122371304160.09777552573916740.0488877628695837
510.9510072862395930.0979854275208140.048992713760407
520.9355758075726860.1288483848546270.0644241924273136
530.896551868622380.2068962627552410.10344813137762
540.8316315298436190.3367369403127620.168368470156381
550.8347578396212510.3304843207574980.165242160378749
560.7548045198444930.4903909603110140.245195480155507


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.048780487804878NOK
5% type I error level80.195121951219512NOK
10% type I error level180.439024390243902NOK