Multiple Linear Regression - Estimated Regression Equation
bewegingen[t] = + 8774.99982184822 + 0.00611052995019669passagiers[t] + 0.0862069834129996cargo[t] -0.00329099758702038auto[t] -79.7458365706018maand[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8774.99982184822724.03151212.119600
passagiers0.006110529950196690.0009036.765800
cargo0.08620698341299960.0089449.638600
auto-0.003290997587020380.006473-0.50840.6128190.30641
maand-79.745836570601827.921016-2.85610.0057050.002853


Multiple Linear Regression - Regression Statistics
Multiple R0.910750546235679
R-squared0.829466557468587
Adjusted R-squared0.819285456421936
F-TEST (value)81.4712037202883
F-TEST (DF numerator)4
F-TEST (DF denominator)67
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation790.833856282647
Sum Squared Residuals41903018.6122731


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11891918084.8057138182834.194286181835
21914718667.2327355765479.767264423454
32151820136.41785684051381.58214315951
42094120765.718522272175.281477727997
52240121319.15884069151081.84115930846
62218121050.32162868611130.67837131392
72249422595.0332002256-101.033200225575
82147921724.1666186935-245.166618693527
92232221586.8178383006735.182161699386
102182920547.543428841281.45657115999
112037019422.4825799109947.517420089065
121846718460.49111718936.50888281074278
131878018941.6709989742-161.670998974152
141881519081.1459978722-266.145997872221
152088120830.411734674550.5882653254647
162144321482.3730947157-39.3730947157300
172233321538.4276590391794.572340960893
182294421781.01490374991162.98509625011
192253623197.5286472602-661.528647260202
202165821851.5074391109-193.507439110941
212303522268.6056963059766.394303694115
222196921316.5383912464652.461608753579
232029719818.7765443464478.223455653643
241856418973.0421623023-409.042162302321
251884419187.3305133444-343.330513344427
261876219382.2171779805-620.217177980502
272175721374.2873064648382.712693535217
282050122086.2827774693-1585.28277746932
292318122204.8462489621976.153751037859
302301522076.6642801763938.335719823665
312282823080.2496798107-252.249679810693
322159722163.9971960809-566.99719608087
332300522562.7317087007442.268291299288
342224321859.0181638921383.981836107945
352072920545.3600617243183.639938275747
361831019402.7896095436-1092.78960954356
371942719441.2353214703-14.2353214703136
381884919615.3084143449-766.308414344876
392181722157.7635218332-340.763521833167
402110122208.8018315242-1107.80183152420
412354622648.6749627336897.32503726638
422345623233.4295597203222.570440279742
432364924503.345037471-854.345037470997
442243223669.207788534-1237.20778853400
452374523892.9825720283-147.982572028294
462387423319.6147031024554.385296897642
472232722207.3228055646119.67719443541
482014321204.5435072592-1061.54350725916
492125221229.752027225122.2479727748731
502109421839.7888920226-745.788892022597
512180023484.7349864933-1684.73498649330
522248022615.6010509890-135.601050989045
532305522982.659426988672.3405730114144
542335222677.5465889002674.453411099767
552317123227.2882490188-56.2882490187916
562069122510.8718793965-1819.87187939646
572318322292.5455153154890.454484684635
582241221376.85594513701035.14405486296
591895819310.8089087932-352.808908793192
601734718068.2077497294-721.207749729359
611735317628.1041200714-275.104120071367
621715317772.2259671427-619.225967142705
632014119370.0660536409770.933946359075
641969920309.4679516824-610.467951682433
652078020275.9705658498504.029434150223
662110120363.9051103387737.094889661273
672087121676.4611262528-805.461126252807
681957420190.9499074208-616.949907420819
692100220365.9025668592636.097433140803
702010519892.5965559544212.403444045568
711777218383.1951922813-611.195192281254
721611717609.2555621185-1492.25556211847


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1704094241071530.3408188482143060.829590575892847
90.1174485307373620.2348970614747250.882551469262638
100.05970082615685840.1194016523137170.940299173843142
110.06990929267890430.1398185853578090.930090707321096
120.0851435965663660.1702871931327320.914856403433634
130.07248104015040390.1449620803008080.927518959849596
140.09771858459455450.1954371691891090.902281415405445
150.1039298957223090.2078597914446180.896070104277691
160.1325704805935070.2651409611870140.867429519406493
170.1219558568072270.2439117136144550.878044143192773
180.1132063566644150.2264127133288300.886793643335585
190.1195023617488390.2390047234976780.88049763825116
200.09065374456692740.1813074891338550.909346255433073
210.07464264419509360.1492852883901870.925357355804906
220.08136614762930510.1627322952586100.918633852370695
230.07096287970379270.1419257594075850.929037120296207
240.0790475766893350.158095153378670.920952423310665
250.09080894262318990.1816178852463800.90919105737681
260.1657784718413610.3315569436827230.834221528158638
270.1360338529350080.2720677058700160.863966147064992
280.5600368946871980.8799262106256040.439963105312802
290.5457241326674960.9085517346650070.454275867332504
300.5553440631747430.8893118736505140.444655936825257
310.5221656161032610.9556687677934770.477834383896739
320.5100892551794190.9798214896411620.489910744820581
330.4920692598954240.9841385197908480.507930740104576
340.4356391800733280.8712783601466560.564360819926672
350.4030297129045040.8060594258090070.596970287095496
360.4552152351749580.9104304703499160.544784764825042
370.4399001413876860.8798002827753720.560099858612314
380.4300013888036380.8600027776072760.569998611196362
390.3629297566369350.725859513273870.637070243363065
400.4398507368522530.8797014737045050.560149263147747
410.4822189456432210.9644378912864420.517781054356779
420.4656302576529430.9312605153058860.534369742347057
430.4230564329171370.8461128658342740.576943567082863
440.4055818048896390.8111636097792780.594418195110361
450.3376351499115860.6752702998231720.662364850088414
460.3120689450977460.6241378901954920.687931054902254
470.3171005065261780.6342010130523570.682899493473822
480.2827142930079450.5654285860158910.717285706992055
490.2887424347811760.5774848695623520.711257565218824
500.2333565953505170.4667131907010350.766643404649483
510.3769315415300940.7538630830601880.623068458469906
520.3450605425401210.6901210850802420.654939457459879
530.3528055896143770.7056111792287540.647194410385623
540.2788377415760360.5576754831520730.721162258423964
550.2385629843031260.4771259686062530.761437015696874
560.8219910377293730.3560179245412550.178008962270627
570.7518945544001530.4962108911996930.248105445599847
580.6839903589201110.6320192821597770.316009641079889
590.6088606423041250.782278715391750.391139357695875
600.5339334626621260.9321330746757480.466066537337874
610.4266412309484710.8532824618969430.573358769051529
620.3321136497177640.6642272994355280.667886350282236
630.2756180551179960.5512361102359930.724381944882004
640.4492094862134830.8984189724269660.550790513786517


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