Multiple Linear Regression - Estimated Regression Equation
Passengersbrussels[t] = + 1071749.92409519 + 33.106785413492DJIA[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1071749.92409519234577.7078014.56882.6e-051.3e-05
DJIA33.10678541349220.9763771.57830.1199380.059969


Multiple Linear Regression - Regression Statistics
Multiple R0.202927626023469
R-squared0.0411796214035209
Adjusted R-squared0.0246482355656507
F-TEST (value)2.49099632707054
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.119938212265450
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation266239.885706474
Sum Squared Residuals4111253250977.78


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19892361419038.1166756-429802.116675601
210083801428185.19041749-419805.190417493
312077631419495.65245001-211732.652450014
413688391409191.16549006-40352.1654900646
514697981418294.5382752151503.4617247875
614987211411921.1510152686799.848984739
717617691424036.24806947337732.751930526
816532141418762.00608525234451.993914749
915991041421645.60709477177458.392905234
1014211791417387.081287033791.91871297136
1111639951429497.54339128-265502.543391284
1210377351426571.89676429-388836.896764294
1310154071431450.51266283-416043.512662826
1410392101435706.38992773-396496.38992773
1512580491439543.79742501-181494.797425008
1614694451448079.3888403121365.6111596853
1715523461441496.76669655110849.23330345
1815491441440897.86494842108246.13505158
1917858951442071.83155918343823.168440818
2016623351448543.21490396213791.785096042
2116294401458406.38841435171033.611585655
2214674301471704.05984353-4274.05984352845
2312022091476378.73794391-274169.737943914
2410769821484364.75672136-407382.756721356
2510393671489613.50648081-450246.506480811
2610634491477924.82482272-414475.824822724
2713351351480762.73846837-145627.738468368
2814916021504220.88234095-12618.8823409521
2915919721522917.2772675169054.7227324866
3016412481515666.22912625125581.770873750
3118988491509156.44191040389692.558089605
3217985801513981.75588441284598.244115588
3317624441531789.56469048230654.435309525
3416220441532927.7759729989116.224027009
3513689551514444.58874449-145489.588744493
3612629731510905.47338379-247932.47338379
3711956501490562.67801862-294912.678018616
3812695301477850.66562340-208320.665623397
3914792791477734.791874451544.20812554985
4016078191496183.21697826111635.783021736
4117124661490164.07232224222301.927677763
4217217661447512.26960618274253.730393818
4319498431448439.59066561501403.409334387
4418213261453919.75685511367406.243144891
4517578021430980.39630995326821.603690046
4615903671380471.02914386209895.970856140
4712606471364051.05678233-103404.056782331
4811492351362307.98453031-213072.98453031
4910163671336632.67923858-320265.679238585
5010278851305580.83199571-277695.831995708
5112621591323656.80576362-61497.8057636207
5215208541342170.12016685178683.879833155
5315441441353168.52534906190975.474650938
5415647091351402.94048296213306.05951704
5518217761375392.44826143446383.551738569
5617413651386141.22828163355223.771718371
5716233861393292.29393094230093.706069057
5814986581393307.19198438105350.808015621
5912418221414234.32211210-172412.322112102
6011360291416989.13772636-280960.137726358


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.3365510274088930.6731020548177870.663448972591107
60.2257262990530950.4514525981061910.774273700946905
70.7096519636846010.5806960726307970.290348036315398
80.7136025700873730.5727948598252540.286397429912627
90.6763854942173280.6472290115653440.323614505782672
100.568821775462680.862356449074640.43117822453732
110.4961139269924650.992227853984930.503886073007535
120.4976295730115680.9952591460231370.502370426988431
130.4695757412974620.9391514825949240.530424258702538
140.4246069424722940.8492138849445890.575393057527706
150.4080192629234990.8160385258469980.591980737076501
160.4902205128546050.980441025709210.509779487145395
170.4987038787973940.9974077575947870.501296121202606
180.4728682628945140.9457365257890280.527131737105486
190.5785103038742730.8429793922514540.421489696125727
200.553670153679380.892659692641240.44632984632062
210.4927484598001350.985496919600270.507251540199865
220.4189963911771560.8379927823543130.581003608822844
230.4369066653359150.873813330671830.563093334664085
240.5118645690983190.9762708618033620.488135430901681
250.5978511736481820.8042976527036360.402148826351818
260.6688087100188140.6623825799623720.331191289981186
270.6300370261159780.7399259477680440.369962973884022
280.5995868379848970.8008263240302060.400413162015103
290.5745311238606560.8509377522786880.425468876139344
300.5386909412599190.9226181174801610.461309058740081
310.621976784782710.756046430434580.37802321521729
320.6145844562134310.7708310875731370.385415543786569
330.5731227561254570.8537544877490860.426877243874543
340.4976107509767430.9952215019534850.502389249023257
350.462019959719980.924039919439960.53798004028002
360.4984714769469920.9969429538939830.501528523053008
370.6036299371682270.7927401256635450.396370062831773
380.6774179582953610.6451640834092770.322582041704639
390.6611774445494150.677645110901170.338822555450585
400.6441493635557080.7117012728885830.355850636444292
410.6169492591662430.7661014816675140.383050740833757
420.5743732491576820.8512535016846370.425626750842318
430.6317541080551150.736491783889770.368245891944885
440.6046294337984160.7907411324031680.395370566201584
450.5800370763273750.839925847345250.419962923672625
460.529647019946630.9407059601067410.470352980053371
470.4518143455317930.9036286910635860.548185654468207
480.4257176009582180.8514352019164360.574282399041782
490.4869650446160280.9739300892320560.513034955383972
500.6412070664786890.7175858670426220.358792933521311
510.7737825461318270.4524349077363460.226217453868173
520.7527179878696090.4945640242607820.247282012130391
530.73165049511130.5366990097774010.268349504888700
540.9946086766814410.01078264663711710.00539132331855853
550.9840460052407240.03190798951855260.0159539947592763


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0392156862745098OK
10% type I error level20.0392156862745098OK