Multiple Linear Regression - Estimated Regression Equation
zondag[t] = + 200.721739759405 -0.0194884247345405weekdag[t] + 0.933024279456307zaterdag[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)200.72173975940595.9699382.09150.0402770.020138
weekdag-0.01948842473454050.020813-0.93640.3524410.17622
zaterdag0.9330242794563070.05034618.532200


Multiple Linear Regression - Regression Statistics
Multiple R0.990317826654022
R-squared0.980729397788746
Adjusted R-squared0.980154155931694
F-TEST (value)1704.89922762952
F-TEST (DF numerator)2
F-TEST (DF denominator)67
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation644.332092235938
Sum Squared Residuals27815977.6207045


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12227423109.2521332417-835.25213324172
21481916212.2543615302-1393.25436153022
31513613421.66624824421714.33375175577
41370413149.3146124902554.685387509838
51963820362.4683752879-724.468375287915
675519235.25890240521-1684.25890240521
780195576.895410408032442.10458959197
865096956.7816367459-447.7816367459
966346029.10864839426604.891351605743
10111669146.513066540142019.48693345986
1175086987.06792083028520.932079169716
1242753987.57382279326287.426177206744
1349444334.48575147387609.514248526128
1454414814.15971065892626.840289341077
1516891886.28557709764-197.285577097638
1615221693.82897088345-171.828970883446
1714161545.25138211416-129.251382114163
1815942096.10585950102-502.105859501019
1919091575.26368376768333.736316232324
2025992454.22363240399144.776367596005
2112622128.32277325734-866.322773257337
2211991551.89400459155-352.894004591553
2344043301.623795697761102.37620430224
2411661375.28187037351-209.281870373508
2511221255.08248593712-133.082485937124
268861231.81776433272-345.817764332721
27778872.730027721657-94.7300277216567
2844363598.15483339554837.845166604465
2918902226.29974790681-336.299747906813
3031072921.89004672013185.109953279875
3110381126.48817553111-88.4881755311131
32300527.898265147391-227.898265147391
339881222.73093550386-234.730935503858
3420082147.70878809028-139.70878809028
3515221512.618840474969.38115952504232
3613361408.14686992399-72.1468699239907
37976997.50167652261-21.5016765226099
387981072.9231558685-274.923155868496
398691304.68587735142-435.685877351418
4012601393.25491063204-133.254910632036
41578728.807497231483-150.807497231483
4223591898.28152810053460.71847189947
43736747.553196842953-11.5531968429527
4416901351.35632462433338.643675375675
4512011393.80275150776-192.802751507762
468131534.54319073899-721.543190738994
47778956.757492665198-178.757492665198
48687955.264144284043-268.264144284043
4912701197.3461780073972.6538219926137
50671846.399890282078-175.399890282078
511559793.670580337566765.329419662434
52489715.379334777778-226.379334777778
53773798.481801139196-25.481801139196
54629854.930980100203-225.930980100203
55637775.723778577892-138.723778577892
56277431.905541652143-154.905541652143
57776740.25420774942135.7457922505793
581651897.684381563789753.315618436211
59377560.904013637333-183.904013637333
60222516.508616718121-294.508616718121
611068961.134872782421106.865127217579
62399620.566362571738-221.566362571738
63547576.190454077261-29.1904540772606
646681014.8093075454-346.809307545398
65451657.558450637305-206.558450637305
66724785.675103293837-61.6751032938369
67853938.924946221486-85.9249462214858
68434657.719198250784-223.719198250784
69730948.162587107979-218.162587107979
70612743.888735181252-131.888735181252


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.9999993992022011.20159559850718e-066.0079779925359e-07
70.9999999999968676.26640525808046e-123.13320262904023e-12
80.9999999999998353.30551640194784e-131.65275820097392e-13
90.9999999999991591.68239786367299e-128.41198931836493e-13
100.9999999999999833.32432899750005e-141.66216449875002e-14
110.9999999999999461.07842868484443e-135.39214342422213e-14
120.9999999999998652.69773344138348e-131.34886672069174e-13
130.9999999999995429.16252912999693e-134.58126456499847e-13
140.9999999999981333.73356911395091e-121.86678455697545e-12
150.999999999998383.2393844492817e-121.61969222464085e-12
160.9999999999976494.70130822690783e-122.35065411345391e-12
170.9999999999957258.55102046698298e-124.27551023349149e-12
180.999999999996277.45910697096265e-123.72955348548133e-12
190.9999999999958398.32118907523473e-124.16059453761736e-12
200.9999999999861912.76169899419e-111.380849497095e-11
210.9999999999993931.2137520716017e-126.06876035800852e-13
220.9999999999986912.61773037386967e-121.30886518693483e-12
230.9999999999997774.45266714214173e-132.22633357107086e-13
240.9999999999992971.40636049704445e-127.03180248522227e-13
250.9999999999976684.66499443024583e-122.33249721512291e-12
260.9999999999941491.17014560666039e-115.85072803330193e-12
270.9999999999826083.47837819277937e-111.73918909638969e-11
280.9999999999908421.83152451666496e-119.1576225833248e-12
290.9999999999838793.22416072805396e-111.61208036402698e-11
300.9999999999459711.08057116956018e-105.40285584780091e-11
310.9999999998260793.47842119967499e-101.73921059983749e-10
320.999999999472581.05483934171853e-095.27419670859267e-10
330.9999999985056072.98878585389436e-091.49439292694718e-09
340.9999999958222588.3554838168676e-094.1777419084338e-09
350.9999999875468982.49062047675378e-081.24531023837689e-08
360.9999999633900717.32198582529509e-083.66099291264755e-08
370.9999999021356561.95728687719222e-079.78643438596108e-08
380.99999975918534.81629400663891e-072.40814700331946e-07
390.9999996874489876.25102026678663e-073.12551013339331e-07
400.9999992468676961.50626460833421e-067.53132304167107e-07
410.9999981787011783.6425976443232e-061.8212988221616e-06
420.9999981524788353.69504232927701e-061.84752116463851e-06
430.9999951505851089.69882978391033e-064.84941489195516e-06
440.9999946375998511.07248002980128e-055.36240014900639e-06
450.9999862757597552.74484804909982e-051.37242402454991e-05
460.9999956290033538.74199329426896e-064.37099664713448e-06
470.9999906507652971.86984694054693e-059.34923470273467e-06
480.9999880288249152.39423501702193e-051.19711750851097e-05
490.9999740388774235.19222451539882e-052.59611225769941e-05
500.9999716914883695.66170232622236e-052.83085116311118e-05
510.9999944314584141.11370831712824e-055.56854158564118e-06
520.9999879285296222.41429407561786e-051.20714703780893e-05
530.9999629544745657.40910508707586e-053.70455254353793e-05
540.9999562974521388.74050957242477e-054.37025478621239e-05
550.999938531671560.000122936656879986.14683284399901e-05
560.999845594386020.0003088112279590660.000154405613979533
570.9995972089308390.0008055821383217060.000402791069160853
580.9999940403380841.19193238319662e-055.95966191598309e-06
590.9999688166483346.23667033326422e-053.11833516663211e-05
600.999947561947750.0001048761045004895.24380522502446e-05
610.9999296956589160.0001406086821677257.03043410838625e-05
620.9996836362707420.0006327274585163890.000316363729258195
630.9983394720638340.003321055872331410.00166052793616571
640.9980368417435810.003926316512838970.00196315825641948


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level591NOK
5% type I error level591NOK
10% type I error level591NOK