Multiple Linear Regression - Estimated Regression Equation

Totale_werkloosheid[t] = -84.8598455362373 + 0.0431272408509262Jaartal[t] + 0.00110852737564431t + 0.995878671716741Jonger_dan_25[t] + 1.0002341118164Vanaf_25[t] -0.0766601847092077`Belgi\303\253`[t] -0.461901000716775Euroraad[t] + 0.385382469325766`EU-27`[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-84.8598455362373	336.990516	-0.2518	0.80156	0.40078
Jaartal	0.0431272408509262	0.168533	0.2559	0.798414	0.399207
t	0.00110852737564431	0.014254	0.0778	0.938126	0.469063
Jonger_dan_25	0.995878671716741	0.00393	253.4034	0	0
Vanaf_25	1.0002341118164	0.003058	327.1342	0	0
`Belgi\303\253`	-0.0766601847092077	0.113462	-0.6756	0.500404	0.250202
Euroraad	-0.461901000716775	0.372345	-1.2405	0.216903	0.108452
`EU-27`	0.385382469325766	0.350866	1.0984	0.273967	0.136983

Multiple Linear Regression - Regression Statistics
Multiple R	0.999941101403851
R-squared	0.999882206276746
Adjusted R-squared	0.999876187619353
F-TEST (value)	166130.440903983
F-TEST (DF numerator)	7
F-TEST (DF denominator)	137
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.504181488531057
Sum Squared Residuals	34.8252593527028

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	501	501.842685590958	-0.842685590957651
2	485	484.883354453119	0.11664554688051
3	464	463.935122491918	0.0648775080820712
4	460	459.968034204037	0.0319657959633518
5	467	467.075430891991	-0.075430891991465
6	460	460.095632975422	-0.0956329754222524
7	448	448.161899461571	-0.161899461571094
8	443	443.159571713222	-0.159571713221867
9	436	436.180818658381	-0.180818658381019
10	431	431.197133525345	-0.197133525344912
11	484	484.090963372842	-0.0909633728421026
12	510	509.062420460866	0.937579539133899
13	513	513.037111939995	-0.0371119399949131
14	503	502.986202677578	0.0137973224224519
15	471	471.068357438314	-0.0683574383140762
16	471	471.028676167446	-0.0286761674460778
17	476	476.116962016455	-0.116962016455046
18	475	474.123016787358	0.876983212642237
19	470	470.136255187767	-0.136255187766779
20	461	461.152692634525	-0.152692634525302
21	455	455.120317572958	-0.120317572958251
22	456	455.121426100334	0.878573899666117
23	517	516.944203506359	0.0557964936413786
24	525	525.899509198986	-0.89950919898563
25	523	522.850414712469	0.149585287530868
26	519	518.885430313376	0.114569686623559
27	509	508.869540564942	0.130459435057582
28	512	511.880062307967	0.119937692033439
29	519	518.907308408927	0.0926915910733787
30	517	516.871514354526	0.128485645474504
31	510	509.892761299685	0.107238700315361
32	509	509.903625568988	-0.903625568987983
33	501	499.936191637269	1.06380836273149
34	507	506.879682526988	0.12031747301171
35	569	569.721322494811	-0.721322494810696
36	580	579.736118719625	0.263881280375261
37	578	577.687258344925	0.31274165507535
38	565	565.775302031572	-0.775302031571768
39	547	547.761894828706	-0.761894828706228
40	555	554.799869807358	0.200130192642036
41	562	561.827115908318	0.172884091681977
42	561	560.841056644176	0.158943355823761
43	555	555.886814730109	-0.886814730109328
44	544	543.903372383237	0.0966276167627479
45	537	536.936640786967	0.063359213033029
46	543	542.868920968028	0.131079031971839
47	594	593.690153840469	0.309846159530895
48	611	610.633045252414	0.366954747586191
49	613	612.638977443522	0.361022556478091
50	611	610.714881083873	0.285118916126611
51	594	593.724706048237	0.275293951762998
52	595	595.743704559644	-0.743704559644074
53	591	590.854737069359	0.145262930641387
54	589	589.861011786746	-0.861011786745898
55	584	583.874826825251	0.125173174749471
56	573	572.895137323144	0.104862676855917
57	567	566.916604214788	0.083395785212198
58	569	568.921491544167	0.0785084558324952
59	621	620.731773777005	0.268226222995335
60	629	628.707563531253	0.292436468746663
61	628	627.708437946813	0.291562053187403
62	612	611.795559351526	0.204440648474046
63	595	595.805604262374	-0.805604262374159
64	597	596.836375955204	0.163624044796435
65	593	592.91014919153	0.089850808469674
66	590	589.926918116795	0.0730818832048146
67	580	579.959470019744	0.0405299802560961
68	574	574.010764278121	-0.0107642781208959
69	573	572.986166767046	0.0138332329534815
70	573	573.005903744403	-0.00590374440346041
71	620	619.901625334042	0.0983746659583022
72	626	625.89333792866	0.106662071340366
73	620	619.905049078376	0.0949509216243459
74	588	586.971415370444	1.02858462955584
75	566	565.976979143839	0.0230208561608848
76	557	558.068210829063	-1.06821082906287
77	561	561.077907098845	-0.0779070988454993
78	549	549.109990778161	-0.109990778161418
79	532	532.140903898395	-0.140903898395353
80	526	526.15365990984	-0.153659909839763
81	511	511.189410859138	-0.189410859137972
82	499	499.196212770338	-0.19621277033819
83	555	555.090744953285	-0.0907449532845708
84	565	564.083159883352	0.9168401166483
85	542	542.120568462975	-0.120568462974569
86	527	527.103493990127	-0.103493990126742
87	510	510.178345659121	-0.178345659121301
88	514	514.14620782693	-0.146207826929612
89	517	517.198811949076	-0.198811949076292
90	508	507.237985008768	0.762014991232465
91	493	493.269614629782	-0.269614629782482
92	490	490.232541601837	-0.232541601836569
93	469	469.260280888826	-0.26028088882568
94	478	477.234878118824	0.765121881176492
95	528	529.10652066082	-1.10652066081993
96	534	533.075826003453	0.924173996547485
97	518	518.125027420814	-0.125027420813761
98	506	506.11199419245	-0.111994192450033
99	502	502.11428432668	-0.114284326680504
100	516	516.040799714466	-0.0407997144655875
101	528	528.071718576392	-0.0717185763921203
102	533	533.035710066491	-0.0357100664906006
103	536	535.972716544594	0.0272834554057111
104	537	537.01696703615	-0.0169670361503801
105	524	523.041989665755	0.95801033424538
106	536	536.051940261667	-0.051940261667347
107	587	586.873862178736	0.126137821263754
108	597	595.881817300323	1.11818269967681
109	581	580.880473177513	0.119526822486909
110	564	564.887221675322	-0.887221675321845
111	558	556.943462177226	1.05653782277409
112	575	574.924989519306	0.0750104806939534
113	580	580.989247174503	-0.989247174503379
114	575	574.994351332809	0.00564866719130818
115	563	564.014661830702	-1.01466183070225
116	552	550.992669444991	1.007330555009
117	537	537.020988487635	-0.0209884876346739
118	545	545.022910882481	-0.0229108824812839
119	601	600.922843367256	0.0771566327442979
120	604	604.90642171977	-0.906421719769917
121	586	586.92404857322	-0.924048573220314
122	564	563.984059268585	0.0159407314147161
123	549	548.031597564638	0.968402435362332
124	551	551.069472803174	-0.0694728031742269
125	556	556.141173598935	-0.141173598934993
126	548	548.219353129192	-0.219353129191603
127	540	540.205138293973	-0.205138293973038
128	531	531.213895556929	-0.213895556928814
129	521	520.277099741855	0.722900258145392
130	519	518.231549945526	0.768450054474219
131	572	572.100364298116	-0.100364298115545
132	581	582.065674009819	-1.06567400981847
133	563	563.067748879842	-0.0677488798424472
134	548	548.062724196229	-0.062724196228838
135	539	539.080206504716	-0.0802065047157384
136	541	541.051970054323	-0.0519700543227361
137	562	561.07145900524	0.928540994760142
138	559	559.068802895943	-0.0688028959432661
139	546	546.077682738694	-0.0776827386936672
140	536	536.994059801506	-0.994059801506085
141	528	526.994931099506	1.00506890049363
142	530	530.980613340809	-0.980613340809178
143	582	581.835274889887	0.164725110113281
144	599	598.834302302349	0.165697697651263
145	584	583.790064492506	0.209935507493585

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.0441230366919817	0.0882460733839634	0.955876963308018
12	0.357318528776998	0.714637057553997	0.642681471223001
13	0.296862431465615	0.59372486293123	0.703137568534385
14	0.193403277944363	0.386806555888726	0.806596722055637
15	0.115702003370105	0.23140400674021	0.884297996629895
16	0.104758583280093	0.209517166560186	0.895241416719907
17	0.0663808915133665	0.132761783026733	0.933619108486634
18	0.238926168995314	0.477852337990627	0.761073831004686
19	0.242573244058066	0.485146488116132	0.757426755941934
20	0.204092508750794	0.408185017501588	0.795907491249206
21	0.147249321635137	0.294498643270275	0.852750678364863
22	0.222342287097819	0.444684574195637	0.777657712902181
23	0.184194415765918	0.368388831531837	0.815805584234081
24	0.18213022404044	0.36426044808088	0.81786977595956
25	0.2417708528076	0.483541705615201	0.7582291471924
26	0.186775528954184	0.373551057908369	0.813224471045816
27	0.145207813254422	0.290415626508844	0.854792186745578
28	0.120720685523594	0.241441371047187	0.879279314476406
29	0.08830501962531	0.17661003925062	0.91169498037469
30	0.0632875751773203	0.126575150354641	0.93671242482268
31	0.045286573270249	0.090573146540498	0.954713426729751
32	0.147901904423979	0.295803808847957	0.852098095576021
33	0.263710537389931	0.527421074779861	0.736289462610069
34	0.218883013294153	0.437766026588306	0.781116986705847
35	0.263616846585745	0.527233693171489	0.736383153414255
36	0.234654311952684	0.469308623905367	0.765345688047316
37	0.213312903143946	0.426625806287892	0.786687096856054
38	0.309318618123804	0.618637236247608	0.690681381876196
39	0.36456657947455	0.7291331589491	0.63543342052545
40	0.313418835716306	0.626837671432613	0.686581164283694
41	0.265835175033228	0.531670350066455	0.734164824966772
42	0.220875572397891	0.441751144795783	0.779124427602109
43	0.361816603200829	0.723633206401658	0.638183396799171
44	0.312149547447711	0.624299094895423	0.687850452552289
45	0.264929614429604	0.529859228859209	0.735070385570396
46	0.223614044002061	0.447228088004122	0.776385955997939
47	0.20864920442201	0.41729840884402	0.79135079557799
48	0.195993803797889	0.391987607595777	0.804006196202111
49	0.17347726365176	0.34695452730352	0.82652273634824
50	0.145663397562233	0.291326795124467	0.854336602437767
51	0.119401009529959	0.238802019059918	0.880598990470041
52	0.168253002060018	0.336506004120036	0.831746997939982
53	0.137106724401694	0.274213448803388	0.862893275598306
54	0.212359253986218	0.424718507972436	0.787640746013782
55	0.180009192209102	0.360018384418204	0.819990807790898
56	0.148951291581458	0.297902583162916	0.851048708418542
57	0.121049612394758	0.242099224789517	0.878950387605241
58	0.0973733493666932	0.194746698733386	0.902626650633307
59	0.077253722716167	0.154507445432334	0.922746277283833
60	0.0604042693951205	0.120808538790241	0.93959573060488
61	0.0468166912251573	0.0936333824503145	0.953183308774843
62	0.0357297953035972	0.0714595906071945	0.964270204696403
63	0.0853567860921768	0.170713572184354	0.914643213907823
64	0.0680704160516349	0.13614083210327	0.931929583948365
65	0.0537999153306545	0.107599830661309	0.946200084669345
66	0.0419611809133753	0.0839223618267507	0.958038819086625
67	0.032429637319401	0.0648592746388021	0.967570362680599
68	0.0251521358846729	0.0503042717693458	0.974847864115327
69	0.0187285748581839	0.0374571497163678	0.981271425141816
70	0.0138277201929402	0.0276554403858804	0.98617227980706
71	0.00994131297566016	0.0198826259513203	0.99005868702434
72	0.00705067687319025	0.0141013537463805	0.99294932312681
73	0.00493506245444698	0.00987012490889396	0.995064937545553
74	0.00940218668967116	0.0188043733793423	0.990597813310329
75	0.00734468883688325	0.0146893776737665	0.992655311163117
76	0.0309156179850334	0.0618312359700669	0.969084382014967
77	0.0236197170858074	0.0472394341716147	0.976380282914193
78	0.0177937217083821	0.0355874434167642	0.982206278291618
79	0.0132957378555297	0.0265914757110595	0.98670426214447
80	0.00970264200542764	0.0194052840108553	0.990297357994572
81	0.00719321052181031	0.0143864210436206	0.99280678947819
82	0.00578005565461651	0.011560111309233	0.994219944345384
83	0.00417562458514391	0.00835124917028781	0.995824375414856
84	0.00803885446317286	0.0160777089263457	0.991961145536827
85	0.00601169799220915	0.0120233959844183	0.993988302007791
86	0.00427290069053417	0.00854580138106834	0.995727099309466
87	0.00314721132543044	0.00629442265086088	0.99685278867457
88	0.0022416102026285	0.00448322040525701	0.997758389797372
89	0.00155174491943616	0.00310348983887232	0.998448255080564
90	0.00271812607393619	0.00543625214787237	0.997281873926064
91	0.00205896490239126	0.00411792980478253	0.997941035097609
92	0.00147640211930848	0.00295280423861696	0.998523597880692
93	0.00118701504988063	0.00237403009976126	0.998812984950119
94	0.00168690135168496	0.00337380270336993	0.998313098648315
95	0.00588061484074992	0.0117612296814998	0.99411938515925
96	0.0151041295304915	0.0302082590609829	0.984895870469509
97	0.011387645628193	0.022775291256386	0.988612354371807
98	0.008121491524289	0.016242983048578	0.991878508475711
99	0.00578418767606722	0.0115683753521344	0.994215812323933
100	0.00419472472644882	0.00838944945289763	0.995805275273551
101	0.00288046255865224	0.00576092511730448	0.997119537441348
102	0.00193470628997535	0.0038694125799507	0.998065293710025
103	0.00132862831689334	0.00265725663378667	0.998671371683107
104	0.00106047216130457	0.00212094432260914	0.998939527838695
105	0.001214544819097	0.00242908963819399	0.998785455180903
106	0.00101362770738707	0.00202725541477414	0.998986372292613
107	0.000643694858890792	0.00128738971778158	0.999356305141109
108	0.00235345754985925	0.00470691509971851	0.997646542450141
109	0.00175029104724436	0.00350058209448871	0.998249708952756
110	0.00761843782559509	0.0152368756511902	0.992381562174405
111	0.0119480600020653	0.0238961200041307	0.988051939997935
112	0.00937729161710703	0.0187545832342141	0.990622708382893
113	0.0164155658244013	0.0328311316488026	0.983584434175599
114	0.0119509657030825	0.023901931406165	0.988049034296917
115	0.0299097473011408	0.0598194946022816	0.970090252698859
116	0.0574369465534197	0.114873893106839	0.94256305344658
117	0.0410948858867981	0.0821897717735962	0.958905114113202
118	0.0288160627182291	0.0576321254364582	0.971183937281771
119	0.0249079025703996	0.0498158051407991	0.9750920974296
120	0.0260044944908348	0.0520089889816695	0.973995505509165
121	0.0427253266315109	0.0854506532630217	0.957274673368489
122	0.0327664504356652	0.0655329008713305	0.967233549564335
123	0.0555698400584707	0.111139680116941	0.944430159941529
124	0.0528936703183836	0.105787340636767	0.947106329681616
125	0.048978235595115	0.0979564711902299	0.951021764404885
126	0.049480182205202	0.0989603644104041	0.950519817794798
127	0.0359346922059039	0.0718693844118078	0.964065307794096
128	0.0223799436410375	0.044759887282075	0.977620056358963
129	0.0189573541190174	0.0379147082380349	0.981042645880983
130	0.0168841897853218	0.0337683795706435	0.983115810214678
131	0.0123757382255767	0.0247514764511535	0.987624261774423
132	0.0225683385715202	0.0451366771430404	0.97743166142848
133	0.193083192043769	0.386166384087538	0.806916807956231
134	0.13017689293642	0.26035378587284	0.86982310706358

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	21	0.169354838709677	NOK
5% type I error level	51	0.411290322580645	NOK
10% type I error level	68	0.548387096774194	NOK