Multiple Linear Regression - Estimated Regression Equation
Passengersbrussels[t] = + 643506.889523468 + 33.0554647235123DJIA[t] -37601.179288474M1[t] -2084.93078149814M2[t] + 218151.003437736M3[t] + 386307.756645739M4[t] + 460143.964267434M5[t] + 489460.295892718M6[t] + 728273.668754439M7[t] + 612201.854211425M8[t] + 544958.341672279M9[t] + 395143.631685458M10[t] + 118806.647585149M11[t] + 3366.03286395014t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)643506.88952346855597.88238911.574300
DJIA33.05546472351234.0533888.15500
M1-37601.17928847431091.216256-1.20940.2326950.116347
M2-2084.9307814981431121.009248-0.0670.9468770.473438
M3218151.00343773631033.3333547.029600
M4386307.75664573930907.2240712.498900
M5460143.96426743430859.09196814.911100
M6489460.29589271830867.96607515.856600
M7728273.66875443930811.80813823.636200
M8612201.85421142530785.04510119.886300
M9544958.34167227930773.52408717.708700
M10395143.63168545830760.58407512.845800
M11118806.64758514930752.2294123.86340.0003480.000174
t3366.03286395014388.6084558.661800


Multiple Linear Regression - Regression Statistics
Multiple R0.987238960106177
R-squared0.974640764351525
Adjusted R-squared0.967474023842174
F-TEST (value)135.994984481405
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation48619.1823506069
Sum Squared Residuals108735945052.312


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1989236956021.58472070733214.4152792926
210083801004036.760440094343.23955991047
312077631218962.65969729-11199.6596972938
413688391380196.93237405-11357.9323740538
514697981466488.433994723309.56600527653
614987211492807.290970035913.70902996611
717617691747083.0134566314685.9865433729
816532141629111.1656924624102.8343075397
915991041568112.8169946830991.1830053173
1014211791417412.215444433766.78455557408
1111639951156532.953203937462.04679607066
1210377351038171.22706511-436.227065113023
1310154071008807.133922256599.86607775436
1410392101051938.69528338-12728.6952833793
1512580491279372.12128267-21323.1212826655
1614694451459417.2672696410027.7327303650
1715523461530047.0897043022298.9102956958
1815491441562131.48083669-12987.4808366895
1917858951805483.03334146-19588.0333414567
2016623351699238.60335190-36903.6033518976
2116294401645209.00772713-15769.0077271301
2214674301512037.38856511-44607.3885651054
2312022091243733.86894771-41524.8689477072
2410769821136266.89342711-59284.8934271138
2510393671107272.36037986-67905.3603798555
2610634491134484.07937550-71035.0793754983
2713351351360919.56089478-25784.5608947817
2814916021555864.12705123-64262.1270512271
2915919721651733.78013018-59761.7801301816
3016412481677176.33673567-35928.3367356715
3118988491912856.04643276-14007.0464327586
3217985801804968.09873715-6388.09873714658
3317624441758870.822982083573.17701791966
3416220441613558.592736408485.40726359599
3513689551322133.1060995646821.8939004439
3612629731203158.8621994159814.1378005865
3711956501148612.4549208847037.5450791198
3812695301174802.4295019294727.5704980807
3914792791398288.7024585780990.297541429
4016078191588231.3156930519587.6843069455
4117124661659423.7421373253042.2578626821
4217217661649520.4208686072245.5791313965
4319498431892625.7101611857217.2898388197
4418213261785391.599557835934.4004422005
4517578021698610.3189303359191.6810696714
4615903671501730.5720520388636.4279479687
4712606471212365.1019767548281.8980232471
4811492351095184.1170378654050.8829621392
4910163671035313.46605631-18946.4660563113
5010278851043192.03539911-15307.0353991136
5112621591284841.95566669-22682.955666688
5215208541474849.3576120346004.6423879704
5315441441563032.95403347-18888.9540334729
5415647091593952.47058900-29243.4705890016
5518217761860084.19660798-38308.1966079773
5617413651758110.53266070-16745.5326606960
5716233861701373.03336578-77987.0333657784
5814986581554939.23120203-56281.2312020333
5912418221302862.96977205-61040.9697720544
6011360291190172.9002705-54143.9002704989


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.005877553591105890.01175510718221180.994122446408894
180.003570380663693070.007140761327386130.996429619336307
190.001416502476590.002833004953180.99858349752341
200.005076172350535190.01015234470107040.994923827649465
210.002842924989183080.005685849978366150.997157075010817
220.001117094181419480.002234188362838960.99888290581858
230.0003835235610190230.0007670471220380470.99961647643898
240.000148050488397460.000296100976794920.999851949511603
250.0001098085460666830.0002196170921333660.999890191453933
268.6238630538108e-050.0001724772610762160.999913761369462
270.0001397717070311060.0002795434140622120.999860228292969
280.0001427064394528570.0002854128789057140.999857293560547
290.0001698663245409540.0003397326490819080.99983013367546
300.000554346638587810.001108693277175620.999445653361412
310.001807458061624670.003614916123249340.998192541938375
320.009235501083820330.01847100216764070.99076449891618
330.01894380270986740.03788760541973480.981056197290133
340.1366451627675490.2732903255350970.863354837232451
350.3908118851375790.7816237702751580.609188114862421
360.7368739325980830.5262521348038330.263126067401917
370.7022274614567830.5955450770864350.297772538543217
380.792211257299940.4155774854001180.207788742700059
390.8184650036673270.3630699926653460.181534996332673
400.953982647053380.092034705893240.04601735294662
410.903603587767340.1927928244653200.0963964122326599
420.8170302982594740.3659394034810530.182969701740526
430.6718326937737450.656334612452510.328167306226255


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level130.481481481481481NOK
5% type I error level170.62962962962963NOK
10% type I error level180.666666666666667NOK