Multiple Linear Regression - Estimated Regression Equation
Tot_nietwerkende_werkzoekenden[t] = + 838838.18799994 -2239.06649810638Tot_ind_productie[t] + 25644.8903432349M1[t] + 45056.4124976968M2[t] + 31267.1814830794M3[t] + 2946.30621054342M4[t] -9776.7235398718M5[t] -5649.07194513298M6[t] -5301.24720247713M7[t] + 7360.59494601442M8[t] -9755.17904712758M9[t] -20474.7993209117M10[t] + 3900.0507567845M11[t] -1690.05696515542t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)838838.1879999444098.41098719.02200
Tot_ind_productie-2239.06649810638484.43716-4.6223e-051.5e-05
M125644.890343234914160.5669971.8110.0765340.038267
M245056.412497696819007.243272.37050.0219180.010959
M331267.181483079418958.9170671.64920.1057740.052887
M42946.3062105434216970.2498670.17360.8629130.431456
M5-9776.723539871815149.022085-0.64540.5218260.260913
M6-5649.0719451329815183.182751-0.37210.711520.35576
M7-5301.2472024771315446.860603-0.34320.7329840.366492
M87360.5949460144217738.5064620.4150.6800670.340033
M9-9755.1790471275816039.319974-0.60820.545980.27299
M10-20474.799320911715903.31724-1.28750.204240.10212
M113900.050756784518513.8006540.21070.8340660.417033
t-1690.05696515542161.692331-10.452300


Multiple Linear Regression - Regression Statistics
Multiple R0.890095379048494
R-squared0.792269783803483
Adjusted R-squared0.734812489961893
F-TEST (value)13.7888461295754
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value6.57685017557696e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21892.9363583838
Sum Squared Residuals22527131132.4354


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1610763646051.384361324-35288.3843613239
2612613625036.999133389-12423.9991333891
3611324618066.163846421-6742.16384642067
4594167602385.25719661-8218.25719661001
5595454593122.0234266842331.97657331597
6590865611233.083543012-20368.0835430122
7589379606980.064872974-17601.0648729742
8584428598248.064872974-13820.0648729742
9573100583696.460261079-10596.4602610789
10567456581810.39556324-14354.3955632393
11569028569117.938005699-89.9380056993582
12620735637417.02472127-16682.02472127
13628884628233.673927375650.326072625002
14628232606771.4753998221460.5246001800
15612117607637.3728562244479.6271437763
16595404571133.14777402424270.8522259763
17597141571273.99329614525867.0067038554
18593408581100.50736947912307.4926305210
19590072575951.86210019914120.1378998014
20579799553785.4631115626013.5368884397
21574205568117.8163252376087.18367476267
22572775535108.72730371937666.2726962809
23572942547269.9078751625672.0921248401
24619567607060.54189792612506.4581020737
25625809597205.471154628603.5288454006
26619916582908.28542098537007.7145790153
27587625563622.58439443124002.4156055689
28565742541672.29154992324069.7084500774
29557274551665.0296637125608.9703362885
30560576545146.35830086915429.6416991306
31548854545371.4726270443482.52737295573
32531673526115.8600859445557.13991405572
33525919535746.173653598-9827.17365359789
34511038516171.483620718-5133.48362071788
35498662521167.651398218-22505.6513982183
36555362570882.486179506-15520.4861795060
37564591568640.241529741-4049.24152974076
38541657567777.454784764-26120.4547847644
39527070530131.408473738-3061.40847373838
40509846520495.981368815-10649.981368815
41514258535862.479078059-21604.4790780593
42516922514342.0621779042579.93782209561
43507561508297.790309381-736.790309381435
44492622525986.774987037-33364.7749870367
45490243490387.945292941-144.945292941415
46469357496338.613338474-26981.6133384741
47477580503797.754263892-26217.7542638916
48528379542765.069854269-14386.0698542686
49533590558211.450539544-24621.4505395439
50517945537868.785261042-19923.7852610419
51506174524852.470429186-18678.4704291862
52501866531338.322110629-29472.3221106287
53516141528344.4745354-12203.4745354006
54528222538170.988608735-9948.98860873506
55532638531902.810090401735.189909598565
56536322520707.83694248415614.1630575156
57536535522053.60446714414481.3955328556
58523597514793.780173858803.21982615045
59536214513072.74845703123141.2515429692
60586570552487.87734702934082.1226529709
61596594561888.77848741734705.2215125829


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.04494564637302260.08989129274604510.955054353626977
180.01209484578590710.02418969157181430.987905154214093
190.003016502335146090.006033004670292180.996983497664854
200.0006918966267494560.001383793253498910.99930810337325
210.0002512919509081340.0005025839018162670.999748708049092
220.0001087094464705070.0002174188929410140.99989129055353
232.53150873273935e-055.0630174654787e-050.999974684912673
246.54273682993918e-061.30854736598784e-050.99999345726317
251.28483206443595e-062.5696641288719e-060.999998715167935
261.31865181637720e-062.63730363275439e-060.999998681348184
279.5789886066480e-050.0001915797721329600.999904210113933
280.001884867551706380.003769735103412760.998115132448294
290.02634946011835690.05269892023671380.973650539881643
300.03774217965259340.07548435930518680.962257820347407
310.05726577904697810.1145315580939560.942734220953022
320.1284191004031060.2568382008062120.871580899596894
330.1522195587885070.3044391175770140.847780441211493
340.2551413720620210.5102827441240420.744858627937979
350.3730691235185230.7461382470370460.626930876481477
360.3503537851335240.7007075702670480.649646214866476
370.3114051860148150.6228103720296290.688594813985185
380.3615608108573070.7231216217146140.638439189142693
390.5162561420667790.9674877158664420.483743857933221
400.6928935958957380.6142128082085250.307106404104262
410.9013985019878740.1972029960242520.098601498012126
420.9560807186955330.08783856260893330.0439192813044667
430.9857215085362310.02855698292753710.0142784914637686
440.999982387177093.52256458211766e-051.76128229105883e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.392857142857143NOK
5% type I error level130.464285714285714NOK
10% type I error level170.607142857142857NOK