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-value1.92068583260152e-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
194.696.4920694355582-1.89206943555816
295.999.14746530553-3.24746530553006
3104.7109.297347116634-4.59734711663445
4102.8103.626099124336-0.826099124336263
598.1101.427691374314-3.32769137431427
6113.9108.4838532069015.41614679309907
780.997.6626439632436-16.7626439632436
895.793.92508012253361.77491987746637
9113.2108.1380580099955.06194199000545
10105.9101.8088954897424.09110451025753
11108.8108.6061473581240.193852641875925
12102.3105.299425574733-2.99942557473304
1399102.589332485707-3.58933248570688
14100.7103.261889022176-2.56188902217642
15115.5116.432843575739-0.93284357573852
16100.799.40894575440481.29105424559523
17109.9108.0079351244761.89206487552386
18114.6109.1645162671565.43548373284383
1985.499.1376017666393-13.7376017666393
20100.594.5649528141385.93504718586194
21114.8107.5880530454937.21194695450745
22116.5108.7575147997117.74248520028854
23112.9108.9781780673453.92182193265509
2410298.52778178180953.47221821819055
25106104.7249186794761.27508132052402
26105.3103.0542662870372.24573371296330
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
34122.4117.4459743987644.95402560123569
35113.3111.2098798798222.09012012017791
36100100.843710435516-0.843710435516367
37110.7110.904276649861-0.204276649860744
38112.8110.4739816275632.32601837243742
39109.8112.306536612054-2.50653661205443
40117.3118.265597424151-0.965597424151192
41109.1112.196709264968-3.09670926496788
42115.9118.063900325064-2.16390032506397
4396115.215218868311-19.2152188683109
4499.899.67420615210520.125793847894769
45116.8118.078596451203-1.27859645120323
46115.7115.79216715038-0.0921671503800888
4799.499.2135240661810.186475933818985
4894.394.13820515573160.161794844268383
499191.8141308632122-0.814130863212235
5093.292.93041246929560.269587530704357
51103.197.4026804873285.69731951267202
5294.192.61482315491791.48517684508214
5391.889.3232696144532.47673038554706
54102.797.0028286369475.69717136305295
5582.691.8293165268406-9.22931652684064
5689.182.81611661841926.28388338158083
57104.597.72284623438326.77715376561684
58105.197.26264194807677.83735805192327
5995.195.4591140267216-0.359114026721552
6088.795.150416094328-6.45041609432809
6186.391.7328949952635-5.43289499526352
6291.893.120051539462-1.32005153946191
63111.5106.7819355908814.71806440911909
6499.799.03099210084350.669007899156513
6597.598.4989047590185-0.998904759018524
66111.7110.8095205620370.890479437962851
6786.2100.614043363794-14.4140433637936
6895.493.78307012131471.61692987868527


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3482187298526980.6964374597053960.651781270147302
90.6750714465348810.6498571069302370.324928553465118
100.5420017656699670.9159964686600660.457998234330033
110.7636628102682720.4726743794634550.236337189731728
120.7770992406824830.4458015186350330.222900759317516
130.7220149963149450.555970007370110.277985003685055
140.6446663017112560.7106673965774870.355333698288744
150.5761982859912030.8476034280175930.423801714008797
160.5059332042148190.9881335915703620.494066795785181
170.4124774512314330.8249549024628650.587522548768567
180.3508998681058890.7017997362117780.649100131894111
190.6959278490374240.6081443019251520.304072150962576
200.7396631909828750.520673618034250.260336809017125
210.7400723598774070.5198552802451850.259927640122593
220.7193663339889260.5612673320221490.280633666011074
230.6497895275763730.7004209448472540.350210472423627
240.5771499370667430.8457001258665140.422850062933257
250.5079331131021850.984133773795630.492066886897815
260.4300938126421650.860187625284330.569906187357835
270.3705954032632290.7411908065264580.629404596736771
280.3042177959590670.6084355919181340.695782204040933
290.2534167978237070.5068335956474140.746583202176293
300.2287289776683150.4574579553366290.771271022331685
310.6704378281644250.659124343671150.329562171835575
320.6516329636882550.696734072623490.348367036311745
330.6185520993856390.7628958012287220.381447900614361
340.6179436680864170.7641126638271660.382056331913583
350.5833194998328520.8333610003342960.416680500167148
360.5171693466354330.9656613067291330.482830653364567
370.4591015404822010.9182030809644010.540898459517799
380.4975913490987210.9951826981974420.502408650901279
390.4592945276521850.918589055304370.540705472347815
400.4220776261031630.8441552522063260.577922373896837
410.4107541301023310.8215082602046630.589245869897669
420.4195680812023010.8391361624046030.580431918797699
430.7214068490387620.5571863019224770.278593150961239
440.6880656406978690.6238687186042630.311934359302131
450.6244413018959240.7511173962081510.375558698104076
460.5785132476962270.8429735046075460.421486752303773
470.5510906483170520.8978187033658960.448909351682948
480.5377601016076390.9244797967847210.462239898392361
490.5909584981890720.8180830036218550.409041501810928
500.5576097410823510.8847805178352970.442390258917649
510.5289423327451320.9421153345097360.471057667254868
520.4601457409632460.9202914819264910.539854259036755
530.3685254020993970.7370508041987930.631474597900603
540.2873971061539280.5747942123078570.712602893846072
550.4635297320443780.9270594640887560.536470267955622
560.3740636066629360.7481272133258730.625936393337064
570.2927485260273260.5854970520546520.707251473972674
580.3573314673982890.7146629347965780.642668532601711
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