Multiple Linear Regression - Estimated Regression Equation
productie[t] = + 30.8115915919024 + 0.00348754152529101uitvoer[t] -0.167649538311852ondernemersvertrouwen[t] + 0.00103653952403590invoer[t] -0.159945387828218t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)30.81159159190248.0305483.83680.0002910.000146
uitvoer0.003487541525291010.0011183.12030.0027260.001363
ondernemersvertrouwen-0.1676495383118520.097799-1.71420.0914050.045702
invoer0.001036539524035900.0010760.96320.3391220.169561
t-0.1599453878282180.046721-3.42340.0010920.000546


Multiple Linear Regression - Regression Statistics
Multiple R0.81693184425255
R-squared0.667377638153872
Adjusted R-squared0.646258758036657
F-TEST (value)31.6009956233369
F-TEST (DF numerator)4
F-TEST (DF denominator)63
p-value1.93178806284777e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.9179008697521
Sum Squared Residuals2206.3576943654


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
194.696.4920694355583-1.89206943555827
295.999.14746530553-3.24746530553004
3104.7109.297347116634-4.59734711663445
4102.8103.626099124336-0.826099124336258
598.1101.427691374314-3.32769137431426
6113.9108.4838532069015.41614679309907
780.997.6626439632436-16.7626439632436
895.793.92508012253361.77491987746638
9113.2108.1380580099955.06194199000546
10105.9101.8088954897424.09110451025753
11108.8108.6061473581240.193852641875931
12102.3105.299425574733-2.99942557473303
1399102.589332485707-3.58933248570687
14100.7103.261889022176-2.56188902217641
15115.5116.432843575739-0.932843575738516
16100.799.40894575440481.29105424559524
17109.9108.0079351244761.89206487552386
18114.6109.1645162671565.43548373284384
1985.499.1376017666393-13.7376017666393
20100.594.5649528141385.93504718586195
21114.8107.5880530454937.21194695450745
22116.5108.7575147997117.74248520028854
23112.9108.9781780673453.92182193265509
2410298.52778178180943.47221821819056
25106104.7249186794761.27508132052402
26105.3103.0542662870372.24573371296331
27118.8113.9035506484144.89644935158579
28106.1102.6215603077563.47843969224429
29109.3107.8527317150741.44726828492608
30117.2111.3235951672465.87640483275421
3192.5106.473394677311-13.9733946773108
32104.298.25418782104585.9458121789542
33112.5107.5349799409884.96502005901153
34122.4117.4459743987644.95402560123568
35113.3111.2098798798222.09012012017791
36100100.843710435516-0.843710435516363
37110.7110.904276649861-0.204276649860743
38112.8110.4739816275632.32601837243742
39109.8112.306536612054-2.50653661205443
40117.3118.265597424151-0.965597424151192
41109.1112.196709264968-3.09670926496788
42115.9118.063900325064-2.16390032506398
4396115.215218868311-19.2152188683109
4499.899.67420615210520.125793847894771
45116.8118.078596451203-1.27859645120323
46115.7115.79216715038-0.0921671503800892
4799.499.2135240661810.186475933818989
4894.394.13820515573160.161794844268385
499191.8141308632122-0.814130863212231
5093.292.93041246929560.26958753070436
51103.197.4026804873285.69731951267202
5294.192.61482315491791.48517684508214
5391.889.3232696144532.47673038554706
54102.797.0028286369475.69717136305295
5582.691.8293165268406-9.22931652684065
5689.182.81611661841926.28388338158083
57104.597.72284623438326.77715376561684
58105.197.26264194807677.83735805192327
5995.195.4591140267216-0.359114026721555
6088.795.1504160943281-6.45041609432809
6186.391.7328949952635-5.43289499526352
6291.893.1200515394619-1.32005153946192
63111.5106.7819355908814.71806440911909
6499.799.03099210084350.66900789915651
6597.598.4989047590185-0.998904759018528
66111.7110.8095205620370.890479437962843
6786.2100.614043363794-14.4140433637936
6895.493.78307012131471.61692987868527


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3482187298526960.6964374597053920.651781270147304
90.6750714465348820.6498571069302360.324928553465118
100.5420017656699660.9159964686600670.457998234330034
110.7636628102682720.4726743794634560.236337189731728
120.7770992406824830.4458015186350340.222900759317517
130.7220149963149440.5559700073701120.277985003685056
140.6446663017112550.710667396577490.355333698288745
150.5761982859912030.8476034280175930.423801714008797
160.5059332042148180.9881335915703630.494066795785182
170.4124774512314320.8249549024628650.587522548768568
180.3508998681058890.7017997362117780.649100131894111
190.6959278490374240.6081443019251510.304072150962576
200.7396631909828760.5206736180342480.260336809017124
210.7400723598774070.5198552802451850.259927640122593
220.7193663339889250.561267332022150.280633666011075
230.6497895275763730.7004209448472530.350210472423627
240.5771499370667420.8457001258665150.422850062933258
250.5079331131021840.9841337737956310.492066886897816
260.4300938126421620.8601876252843230.569906187357838
270.3705954032632320.7411908065264640.629404596736768
280.3042177959590670.6084355919181330.695782204040933
290.2534167978237070.5068335956474130.746583202176293
300.2287289776683120.4574579553366240.771271022331688
310.6704378281644250.659124343671150.329562171835575
320.6516329636882550.696734072623490.348367036311745
330.6185520993856360.7628958012287270.381447900614364
340.6179436680864180.7641126638271640.382056331913582
350.5833194998328530.8333610003342940.416680500167147
360.5171693466354370.9656613067291270.482830653364563
370.4591015404821970.9182030809643940.540898459517803
380.497591349098720.995182698197440.50240865090128
390.4592945276521850.918589055304370.540705472347815
400.4220776261031610.8441552522063230.577922373896839
410.4107541301023340.8215082602046690.589245869897666
420.4195680812023030.8391361624046070.580431918797697
430.7214068490387610.5571863019224790.278593150961239
440.6880656406978670.6238687186042650.311934359302133
450.6244413018959240.7511173962081510.375558698104076
460.5785132476962280.8429735046075440.421486752303772
470.5510906483170540.8978187033658920.448909351682946
480.537760101607640.924479796784720.46223989839236
490.5909584981890720.8180830036218560.409041501810928
500.5576097410823490.8847805178353010.442390258917651
510.5289423327451320.9421153345097370.471057667254868
520.4601457409632450.920291481926490.539854259036755
530.3685254020993970.7370508041987930.631474597900603
540.2873971061539360.5747942123078730.712602893846064
550.4635297320443780.9270594640887560.536470267955622
560.3740636066629380.7481272133258760.625936393337062
570.2927485260273240.5854970520546490.707251473972676
580.3573314673982870.7146629347965740.642668532601713
590.4321022887101930.8642045774203850.567897711289807
600.3105287152526480.6210574305052960.689471284747352


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