Multiple Linear Regression - Estimated Regression Equation
Werk[t] = + 386446.478226036 + 26.6794038315384Bouwvergun[t] -5.16843871470594Auto[t] + 0.279876360124689Hyp[t] + 36329.1227013538M1[t] + 33986.2757199777M2[t] + 33433.7741251689M3[t] + 22139.4363417723M4[t] + 3594.12117399042M5[t] -38101.8143140329M6[t] + 65990.9868913048M7[t] + 48232.3230425884M8[t] + 43147.6305551091M9[t] + 34906.1567168134M10[t] + 3146.90939054105M11[t] -700.464388065671t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)386446.47822603675939.8646835.08887e-063e-06
Bouwvergun26.67940383153845.3045735.02958e-064e-06
Auto-5.168438714705941.491931-3.46430.0011790.000589
Hyp0.2798763601246890.0658044.25320.0001055.3e-05
M136329.122701353814514.4495412.5030.0160140.008007
M233986.275719977716171.3272032.10160.0412150.020608
M333433.774125168914536.2184222.30.0261380.013069
M422139.436341772312671.7631581.74710.0874340.043717
M53594.1211739904216145.892780.22260.8248520.412426
M6-38101.814314032923334.742015-1.63280.1094820.054741
M765990.986891304814355.755334.59683.5e-051.7e-05
M848232.323042588412672.2240133.80610.0004240.000212
M943147.630555109113873.2339553.11010.0032410.001621
M1034906.156716813412534.7536722.78480.0078090.003905
M113146.9093905410511795.7198810.26680.7908540.395427
t-700.464388065671237.518768-2.94910.0050410.00252


Multiple Linear Regression - Regression Statistics
Multiple R0.928817949369446
R-squared0.862702783070862
Adjusted R-squared0.816937044094483
F-TEST (value)18.8504064911117
F-TEST (DF numerator)15
F-TEST (DF denominator)45
p-value1.39888101102770e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18170.9469313304
Sum Squared Residuals14858249057.1551


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1593530631579.073460067-38049.0734600667
2610763625555.341940788-14792.3419407877
3612613619115.895723742-6502.89572374163
4611324606733.9105358484590.08946415201
5594167586786.4802230637380.51977693703
6595454577818.49517794517635.5048220551
7590865593919.722830226-3054.72283022557
8589379604363.024347799-14984.0243477991
9584428599668.525213052-15240.5252130517
10573100595716.204867436-22616.2048674363
11567456605340.765148386-37884.7651483865
12569028572229.568890862-3201.56889086211
13620735614414.0317484966320.96825150442
14628884627571.1955921871312.80440781297
15628232622708.8680692665523.1319307338
16612117596893.29950715115223.7004928486
17595404575211.68476442920192.3152355708
18597141603449.035479807-6308.03547980718
19593408593733.281092679-325.281092678557
20590072568077.06886265821994.9311373415
21579799562935.50155313416863.4984468656
22574205557809.70187748216395.2981225175
23572775539661.11101188033113.8889881204
24572942556759.8709831416182.1290168599
25619567593290.93484478426276.0651552163
26625809599272.09853698626536.9014630141
27619916599463.5044928820452.4955071202
28587625581908.7469524755716.25304752492
29565742550108.35008640815633.6499135916
30557274561503.883189171-4229.88318917053
31560576552417.4338079548158.5661920459
32548854541694.5342990397159.46570096127
33531673538169.096467035-6496.09646703502
34525919529167.970012101-3248.97001210071
35511038498092.52478956312945.4752104372
36498662515192.576132338-16530.5761323375
37555362557863.167761064-2501.16776106392
38564591571329.542744059-6738.54274405854
39541657538816.6479991332840.35200086744
40527070549301.346232329-22231.3462323289
41509846523660.213594542-13814.2135945418
42514258505933.6266169958324.37338300519
43516922526381.983843136-9459.9838431365
44507561526482.999903789-18921.9999037889
45492622508446.132566516-15824.1325665156
46490243494394.13843659-4151.13843658989
47469357480616.304869075-11259.3048690747
48477580487422.691948718-9842.69194871811
49528379534180.703384399-5801.70338439863
50533590539908.821185981-6318.82118598081
51517945540258.08371498-22313.0837149798
52506174509472.696772197-3298.69677219666
53501866531258.271331558-29392.2713315576
54516141531562.959536083-15421.9595360826
55528222523540.5784260054681.42157399472
56532638527886.3725867154751.6274132851
57536322515624.74420026320697.2557997366
58536535522913.98480639113621.0151936093
59523597520512.2941810963084.70581890354
60536214522821.29204494213392.7079550578
61586570572815.08880119113754.9111988086


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.2043230241792950.4086460483585890.795676975820705
200.09211471400744870.1842294280148970.907885285992551
210.05231621348728070.1046324269745610.94768378651272
220.04065209027024370.08130418054048750.959347909729756
230.03183468006379090.06366936012758170.96816531993621
240.02275188217859220.04550376435718450.977248117821408
250.0147367106259190.0294734212518380.985263289374081
260.03626443777187950.07252887554375890.96373556222812
270.2794970190603630.5589940381207250.720502980939637
280.8984776411583350.2030447176833310.101522358841665
290.9701414837180740.05971703256385290.0298585162819264
300.9708871201525380.05822575969492440.0291128798474622
310.9707975533161260.05840489336774720.0292024466838736
320.9681411707250340.06371765854993230.0318588292749662
330.9601877064388130.07962458712237460.0398122935611873
340.9516507606522830.09669847869543410.0483492393477171
350.9795164592192160.0409670815615680.020483540780784
360.985260886209440.02947822758111780.0147391137905589
370.96763373706050.06473252587899840.0323662629394992
380.9388809557262830.1222380885474350.0611190442737174
390.8903574418343790.2192851163312430.109642558165621
400.87954283556510.2409143288698020.120457164434901
410.8116868144004140.3766263711991720.188313185599586
420.8880186307507820.2239627384984360.111981369249218


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.166666666666667NOK
10% type I error level140.583333333333333NOK