Multiple Linear Regression - Estimated Regression Equation
Prijs[t] = -352.1419892666 + 0.00491727838362965Geheugen[t] + 4.79290505124356Gewicht[t] + 65.5523669808706WiFi[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-352.141989266666.484572-5.29662e-061e-06
Geheugen0.004917278383629650.0017482.81240.0067690.003384
Gewicht4.792905051243560.735176.519400
WiFi65.552366980870631.9645722.05080.0449790.022489


Multiple Linear Regression - Regression Statistics
Multiple R0.88279250827681
R-squared0.779322612669661
Adjusted R-squared0.767500609776964
F-TEST (value)65.9213688021598
F-TEST (DF numerator)3
F-TEST (DF denominator)56
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation85.2302625557997
Sum Squared Residuals406795.068698511


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1129.99164.090970882674-34.1009708826743
259.9957.71039995532762.27960004467244
349.9960.1216043161002-10.1316043161002
484.9998.5877766856394-13.5977766856394
5179.99238.354674832237-58.3646748322365
6329.99286.34909133645543.6409086635454
725.99-6.9741491229259532.964149122926
8499.99423.75531195740676.2346880425945
989.99140.603070949923-50.6130709499229
10119.99126.288280415179-6.29828041517944
1179.9997.4721934468596-17.4821934468596
12199.99222.717136412297-22.7271364122967
13449.99299.403617232194150.586382767806
14549.99504.73720449900245.2527955009983
15529.99399.790786701188130.199213298812
16639.99463.093539026443176.896460973557
17749.99541.769993164517208.220006835483
18399.99361.09180582202238.8981941779775
19169.99237.095851566027-67.1058515660273
20189.99399.790786701188-209.800786701188
21199.99399.790786701188-199.800786701188
2269.9979.3178109129926-9.32781091299259
2369.9979.3178109129926-9.32781091299259
24109.99101.6602732569178.32972674308329
25159.99212.501914676705-52.5119146767049
26159.99212.501914676705-52.5119146767049
27199.99365.36983801578-165.37983801578
287536.230838235636938.7691617643631
29349.99319.83406070337730.155939296623
30439.99423.75531195740616.2346880425944
31309.99291.07663039591618.9133696040844
32379.99291.07663039591688.9133696040844
33349.99243.14757988348106.84242011652
34169.99166.7505795339133.23942046608679
35239.99289.503101313154-49.5131013131542
36229.99281.490820293429-51.5008202934285
3769.9955.569645905654514.4203540943455
3899.9998.48943111796681.50056888203317
3929.99-4.137744319248934.1277443192489
4039.9921.763612071000918.2263879289991
4121.99-40.563822708699962.5538227086999
42499.99336.783071078951163.206928921049
4329.99-16.633718401167546.6237184011675
4429.9924.12072636955365.86927363044637
4549.9996.1519859329486-46.1619859329486
4649.9931.339587616720718.6504123832793
4755.9925.588101555228530.4018984447715
4859.9980.7015923661457-20.7115923661457
4979.9968.343302078968711.6466979210313
50139.99160.949632414026-20.9596324140256
51159.99157.8959194833942.09408051660558
52169.99207.305792798004-37.3157927980037
53229.99474.669322447108-244.679322447107
54249.99261.791526874213-11.8015268742134
55309.99328.161047539655-18.1710475396549
56499.99424.75029861649475.2397013835056
5765.9998.4255064989796-32.4355064989796
5889.99180.106500783849-90.1165007838489
5989.99103.675718439901-13.6857184399008
60449.99534.987114795096-84.9971147950962


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.007059276111068530.01411855222213710.992940723888932
80.04362121669799820.08724243339599630.956378783302002
90.0207793490010360.04155869800207190.979220650998964
100.007602153165201840.01520430633040370.992397846834798
110.002611630875713360.005223261751426720.997388369124287
120.0007861250886579660.001572250177315930.999213874911342
130.06710030403087290.1342006080617460.932899695969127
140.04242734111621330.08485468223242650.957572658883787
150.03658080173117210.07316160346234430.963419198268828
160.03360141668584280.06720283337168550.966398583314157
170.1097225325867520.2194450651735040.890277467413248
180.07731932620029660.1546386524005930.922680673799703
190.09637794633666850.1927558926733370.903622053663331
200.8686690751837520.2626618496324950.131330924816247
210.9890424219570520.0219151560858960.010957578042948
220.9817011422988760.03659771540224820.0182988577011241
230.970635234670220.05872953065956040.0293647653297802
240.956814313293050.08637137341390070.0431856867069504
250.9495468474464430.1009063051071130.0504531525535567
260.945612128077350.1087757438453010.0543878719226505
270.9890229278544070.0219541442911860.010977072145593
280.9832682727291730.03346345454165470.0167317272708274
290.9756619205623650.0486761588752690.0243380794376345
300.9653730870405460.06925382591890830.0346269129594542
310.9496477724443270.1007044551113450.0503522275556727
320.9526788472606460.09464230547870790.047321152739354
330.9622681049939760.07546379001204730.0377318950060236
340.9434052185598520.1131895628802960.056594781440148
350.9345799588034270.1308400823931450.0654200411965725
360.9363867780888440.1272264438223110.0636132219111556
370.9058141010319010.1883717979361990.0941858989680994
380.864577837607240.2708443247855210.13542216239276
390.8146742899610740.3706514200778520.185325710038926
400.7507071751298190.4985856497403610.249292824870181
410.6965919113338080.6068161773323830.303408088666192
420.9069270881665630.1861458236668740.0930729118334369
430.868667075786190.262665848427620.13133292421381
440.8088519502449950.3822960995100090.191148049755005
450.7550135467448720.4899729065102560.244986453255128
460.6687998903645050.6624002192709890.331200109635495
470.5785918683912740.8428162632174530.421408131608726
480.4722614837836640.9445229675673290.527738516216336
490.3652574267724860.7305148535449710.634742573227514
500.2600661392514040.5201322785028080.739933860748596
510.2815342015142130.5630684030284260.718465798485787
520.2729325902931180.5458651805862360.727067409706882
530.6464569014707790.7070861970584430.353543098529221


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0425531914893617NOK
5% type I error level100.212765957446809NOK
10% type I error level190.404255319148936NOK