Multiple Linear Regression - Estimated Regression Equation
zondag[t] = + 136.517245101424 -0.01724708490382weekdag[t] + 0.932853142070083zaterdag[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)136.51724510142466.7489392.04520.0435970.021799
weekdag-0.017247084903820.017717-0.97350.3327880.166394
zaterdag0.9328531420700830.04323221.577900


Multiple Linear Regression - Regression Statistics
Multiple R0.990648729993195
R-squared0.981384906237129
Adjusted R-squared0.980993009526332
F-TEST (value)2504.19276099712
F-TEST (DF numerator)2
F-TEST (DF denominator)95
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation556.463791154703
Sum Squared Residuals29416935.3322951


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12227423203.6923556739-929.692355673907
21481916246.0451584942-1427.04515849423
31513613454.67323501711681.32676498291
41370413174.8616145249529.138385475062
51963820364.2005464023-726.200546402326
675519233.02812691554-1682.02812691554
780195561.298158849232457.70184115077
865096936.5452635575-427.545263557497
966346003.60689932564630.393100674361
10111669118.92007364252047.0799263575
1175086955.52751586577552.472484134231
1242753947.77798555724327.222014442763
1349444293.68194595809650.318054041911
1454414770.57812848475670.421871515249
1516891842.603269014-153.603269014
1615221648.49692640702-126.496926407018
1714161498.79414098057-82.7941409805711
1815942048.64799779669-454.647997796695
1919091526.21184335085382.788156649149
2025992404.46903201724194.530967982756
2112622077.90962769442-815.90962769442
2211991501.35162352587-302.35162352587
2344043249.975019714031154.02498028597
2411661323.83873580089-157.838735800886
2511221203.4286710197-81.428671019703
268861180.05409065598-294.054090655976
27778820.58914120167-42.5891412016696
2844363545.39991737641890.600082623593
2918902173.72485210824-283.724852108237
3031072869.13162007304237.868379926956
3110381073.6607432748-35.6607432748043
32300475.026221782104-175.026221782104
339881169.65536036898-181.655360368976
3420082094.4232716887-86.4232716886972
3515221459.0940090124762.9059909875322
3613361354.31672498546-18.3167249854622
37976943.65286689851632.347133101484
387981018.97100166028-220.971001660275
398691250.54128244014-381.541282440142
4012601338.67337033044-78.6733703304376
41578673.399018897128-95.3990188971276
4223591842.39896147564516.601038524356
43736691.81009087808444.1899091219157
4416901295.48680339175394.513196608245
4512011337.33691240426-136.336912404263
468131477.63978791087-664.639787910868
47778899.55950859899-121.55950859899
48687897.916503861336-210.916503861336
4912701139.90490352537130.095096474629
50671788.716413312633-117.716413312633
511559735.730481034053823.269518965947
52489657.229819306408-168.229819306408
53773740.09550407198332.904495928017
54629796.48062263388-167.48062263388
55637717.169347915755-80.169347915755
56277373.360468529586-96.360468529586
57776681.49369529881594.5063047011854
581651838.816671138222812.183328861778
59377501.986187954043-124.986187954043
60222457.554178832756-235.554178832756
611068902.040698665614165.959301334386
62399561.322068591757-162.322068591757
63547516.90730655537330.0926934446269
64668955.434518752831-287.434518752831
65451598.238000764509-147.238000764509
66724726.297587501667-2.29758750166726
67853879.492467820007-26.4924678200067
68434598.165991310366-164.165991310366
69730888.524777682815-158.524777682815
70612684.281680824178-72.2816808241782
71558912.88244188606-354.88244188606
72859791.23058699180167.7694130081986
73311466.147758786649-155.147758786649
74318509.193958886576-191.193958886576
75312500.778012408514-188.778012408514
76343421.190784331928-78.1907843319283
77710800.343090050074-90.3430900500735
78273449.831767820376-176.831767820376
79259473.308320136262-214.308320136262
801274982.472154300226291.527845699774
81625857.487080347738-232.487080347738
82245535.182543369365-290.182543369365
83235359.149252876581-124.149252876581
84250425.468061388076-175.468061388076
85NANA-400.767234695965
86303540.499018942577-237.499018942577
87250390.86689041957-140.86689041957
88403564.860850473734-161.860850473734
8944145.454020278608395.545979721392
9015071687.77495078247-180.774950782473
91388678.091881867209-290.091881867209
92530874.320179748898-344.320179748898
93107-196.770095890814303.770095890814
94868678.81446351423189.18553648577
95NANA-117.565204405875
96753767.969891090067-14.9698910900666
9762185.663248829052-123.663248829052
98346448.587098374397-102.587098374397
99478NANA
100292NANA


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.9999999979058364.18832781277266e-092.09416390638633e-09
718.24074931462229e-164.12037465731114e-16
816.93299534810091e-183.46649767405046e-18
914.09011788926512e-172.04505894463256e-17
1011.44801722683887e-197.24008613419433e-20
1113.73406209947122e-191.86703104973561e-19
1217.8234047951211e-193.91170239756055e-19
1313.08929570405549e-181.54464785202774e-18
1411.41780106663249e-177.08900533316244e-18
1516.86938945168114e-183.43469472584057e-18
1617.37159741430109e-183.68579870715055e-18
1711.20637062164343e-176.03185310821717e-18
1814.94858287303833e-182.47429143651917e-18
1916.20791552638991e-183.10395776319496e-18
2012.32417564133118e-171.16208782066559e-17
2111.70291735234375e-198.51458676171875e-20
2212.8429543712071e-191.42147718560355e-19
2312.67311752235699e-201.3365587611785e-20
2418.01947429851128e-204.00973714925564e-20
2512.78615146312717e-191.39307573156359e-19
2615.91806478815695e-192.95903239407848e-19
2711.96241755037319e-189.81208775186593e-19
2818.80631355193432e-194.40315677596716e-19
2911.05956326300789e-185.29781631503947e-19
3014.21089194052819e-182.10544597026409e-18
3111.48730193704784e-177.43650968523918e-18
3214.72735044964463e-172.36367522482231e-17
3311.34001548897048e-166.70007744485242e-17
3413.37492125747102e-161.68746062873551e-16
350.9999999999999991.18134566563151e-155.90672832815753e-16
360.9999999999999983.93928394961795e-151.96964197480898e-15
370.9999999999999941.23861398577143e-146.19306992885717e-15
380.9999999999999853.03027907143328e-141.51513953571664e-14
390.9999999999999872.68127513819574e-141.34063756909787e-14
400.9999999999999656.98205420948541e-143.4910271047427e-14
410.9999999999998962.08732193791393e-131.04366096895697e-13
420.9999999999998692.62188798514858e-131.31094399257429e-13
430.9999999999995958.09695829451726e-134.04847914725863e-13
440.9999999999995249.51432283033958e-134.75716141516979e-13
450.9999999999987082.58340280488182e-121.29170140244091e-12
460.9999999999999481.03938740240475e-135.19693701202374e-14
470.9999999999998662.67935577703458e-131.33967788851729e-13
480.9999999999997734.53845221120395e-132.26922610560197e-13
490.9999999999992671.46515025383121e-127.32575126915604e-13
500.9999999999981893.62256883284575e-121.81128441642287e-12
510.9999999999999852.93825308548433e-141.46912654274217e-14
520.9999999999999559.0281022277447e-144.51405111387235e-14
530.9999999999998473.06360690376837e-131.53180345188418e-13
540.9999999999995948.12293449450333e-134.06146724725166e-13
550.9999999999986642.67215027857417e-121.33607513928708e-12
560.9999999999956958.61083324306762e-124.30541662153381e-12
570.9999999999882642.34728014035973e-111.17364007017987e-11
580.9999999999999941.295624653905e-146.47812326952501e-15
590.9999999999999764.87533934289007e-142.43766967144503e-14
600.9999999999999091.82611054978859e-139.13055274894294e-14
610.9999999999998572.86933001456628e-131.43466500728314e-13
620.9999999999994491.10178272725634e-125.50891363628169e-13
630.9999999999990431.91425913627921e-129.57129568139607e-13
640.9999999999981563.68827276156224e-121.84413638078112e-12
650.9999999999930581.38844927564582e-116.9422463782291e-12
660.999999999980463.90803099624808e-111.95401549812404e-11
670.9999999999332631.3347445998679e-106.6737229993395e-11
680.9999999997620574.75886468623e-102.379432343115e-10
690.9999999991889911.62201867438572e-098.11009337192862e-10
700.9999999974790755.04185011972298e-092.52092505986149e-09
710.9999999970644185.87116343251131e-092.93558171625565e-09
720.9999999926579421.46841160374488e-087.34205801872441e-09
730.9999999771270884.5745823363732e-082.2872911681866e-08
740.9999999237693251.52461350195316e-077.62306750976581e-08
750.9999997506005524.9879889532953e-072.49399447664765e-07
760.9999994362116671.12757666572876e-065.63788332864379e-07
770.999998198824183.60235163997302e-061.80117581998651e-06
780.9999949326175611.01347648773721e-055.06738243868603e-06
790.9999855033663642.89932672717975e-051.44966336358988e-05
800.9999912925652591.74148694828517e-058.70743474142583e-06
810.9999726365334415.47269331185955e-052.73634665592978e-05
820.9999189599502740.0001620800994529258.10400497264626e-05
830.999844080862610.0003118382747803450.000155919137390172
840.9997434581663590.0005130836672811480.000256541833640574
850.9994420342665670.001115931466865170.000557965733432584
860.9983700674282350.003259865143530630.00162993257176531
870.9956041102259830.008791779548033140.00439588977401657
880.9884533668852790.02309326622944130.0115466331147207
890.9867527869836390.02649442603272240.0132472130163612
900.9647005793555140.07059884128897270.0352994206444863
910.9489017963038840.1021964073922330.0510982036961164
920.9935371930963260.0129256138073470.00646280690367349
930.9581293865378710.08374122692425790.041870613462129
940.9144658859746170.1710682280507660.0855341140253828


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level820.921348314606742NOK
5% type I error level850.955056179775281NOK
10% type I error level870.97752808988764NOK