Multiple Linear Regression - Estimated Regression Equation

Algemeen_indexcijfer[t] = + 0.337764533021312 + 0.192250563369489Voedingsmiddelen_en_dranken[t] + 0.0099300309261758Tabak[t] + 0.0604115202169228Kleding_en_schoeisel[t] + 0.156811098924995Huisv_wat_elektr_gas_ed[t] + 0.0731521484372623`Stoff_huish_app_&_ond_won.`[t] + 0.0410610022717327Gezondheidsuitgaven[t] + 0.156327648054968Vervoer[t] + 0.035876932969499Communicatie[t] + 0.123698362375101Recreatie_en_cultuur[t] + 0.00553871537242599Onderwijs[t] + 0.0699583517705823`Hotels_caf\303\251s_en_restaurants`[t] + 0.0716488874370891`Diverse_goederen_&_diensten`[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)	0.337764533021312	0.198227	1.7039	0.092895	0.046447
Voedingsmiddelen_en_dranken	0.192250563369489	0.000682	281.9801	0	0
Tabak	0.0099300309261758	0.000299	33.2658	0	0
Kleding_en_schoeisel	0.0604115202169228	0.001667	36.2495	0	0
Huisv_wat_elektr_gas_ed	0.156811098924995	0.000265	591.1763	0	0
`Stoff_huish_app_&_ond_won.`	0.0731521484372623	0.001708	42.8396	0	0
Gezondheidsuitgaven	0.0410610022717327	0.00132	31.1141	0	0
Vervoer	0.156327648054968	0.000246	634.3163	0	0
Communicatie	0.035876932969499	0.000599	59.9354	0	0
Recreatie_en_cultuur	0.123698362375101	0.000592	208.9178	0	0
Onderwijs	0.00553871537242599	0.000468	11.8306	0	0
`Hotels_caf\303\251s_en_restaurants`	0.0699583517705823	0.000477	146.6147	0	0
`Diverse_goederen_&_diensten`	0.0716488874370891	0.001081	66.2811	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.999999826703579
R-squared	0.999999653407189
Adjusted R-squared	0.999999593130178
F-TEST (value)	16590067.1434479
F-TEST (DF numerator)	12
F-TEST (DF denominator)	69
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.00339726745787399
Sum Squared Residuals	0.000796358406442744

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	103.48	103.476206659888	0.00379334011226155
2	103.93	103.923856227822	0.00614377217756772
3	103.89	103.89209309656	-0.00209309656019103
4	104.4	104.402598825847	-0.00259882584685358
5	104.79	104.795769506819	-0.00576950681919483
6	104.77	104.775256029846	-0.00525602984619184
7	105.13	105.130698883064	-0.000698883064323372
8	105.26	105.257791812136	0.00220818786370122
9	104.96	104.95970727845	0.000292721549869928
10	104.75	104.745812589996	0.0041874100038076
11	105.01	105.008398402555	0.0016015974450496
12	105.15	105.145415574342	0.00458442565840668
13	105.2	105.203362783905	-0.00336278390533677
14	105.77	105.771768542194	-0.00176854219361651
15	105.78	105.777083139193	0.00291686080651506
16	106.26	106.260473885874	-0.000473885873688555
17	106.13	106.130537769287	-0.000537769286719893
18	106.12	106.118326066227	0.00167393377287016
19	106.57	106.575531193437	-0.00553119343727616
20	106.44	106.44024862145	-0.000248621450222236
21	106.54	106.536722823221	0.00327717677904735
22	107.1	107.102411954648	-0.00241195464827132
23	108.1	108.09704003868	0.00295996132000026
24	108.4	108.402352900138	-0.00235290013846549
25	108.84	108.838692890563	0.00130710943733585
26	109.62	109.624068506926	-0.00406850692646296
27	110.42	110.419947718645	5.22813552217733e-05
28	110.67	110.669479924442	0.00052007555772871
29	111.66	111.657396273291	0.00260372670919007
30	112.28	112.278302817754	0.00169718224562022
31	112.87	112.87094345533	-0.000943455330186333
32	112.18	112.181985471428	-0.00198547142775624
33	112.36	112.357768195223	0.00223180477731527
34	112.16	112.164338453349	-0.00433845334926191
35	111.49	111.491711548761	-0.00171154876119671
36	111.25	111.253090108484	-0.00309010848379109
37	111.36	111.356236898492	0.00376310150834937
38	111.74	111.737400049156	0.0025999508442347
39	111.1	111.101643390778	-0.00164339077796024
40	111.33	111.333180210268	-0.0031802102676319
41	111.25	111.248379680926	0.0016203190738799
42	111.04	111.042734061712	-0.00273406171190956
43	110.97	110.965852991584	0.00414700841626783
44	111.31	111.307523679187	0.00247632081311657
45	111.02	111.021751841026	-0.00175184102566956
46	111.07	111.071114879073	-0.00111487907328266
47	111.36	111.362151554136	-0.00215155413575424
48	111.54	111.539085959088	0.000914040912088759
49	112.05	112.052522270571	-0.0025222705711642
50	112.52	112.517885714541	0.00211428545926935
51	112.94	112.935921294104	0.00407870589591717
52	113.33	113.32644830821	0.00355169178967565
53	113.78	113.784565996412	-0.00456599641153118
54	113.77	113.767663470048	0.00233652995237057
55	113.82	113.819277218559	0.000722781441423565
56	113.89	113.894684710294	-0.00468471029360415
57	114.25	114.246140085266	0.00385991473439954
58	114.41	114.411903005297	-0.00190300529736069
59	114.55	114.544587587136	0.00541241286373532
60	115	115.004037977532	-0.00403797753238484
61	115.66	115.663315645936	-0.00331564593633747
62	116.33	116.331608531491	-0.00160853149091017
63	116.91	116.91066331236	-0.000663312359691792
64	117.2	117.196269910365	0.00373008963525829
65	117.59	117.59354286633	-0.0035428663301019
66	117.95	117.947203055057	0.00279694494331613
67	118.09	118.085885921757	0.00411407824344982
68	117.99	117.988016000472	0.0019839995281406
69	118.31	118.309347943957	0.000652056043343816
70	118.49	118.488453986776	0.00154601322393
71	118.96	118.960826045628	-0.000826045628396793
72	119.01	119.01450644032	-0.00450644032035097
73	119.88	119.881205971192	-0.00120597119173962
74	120.59	120.591783938227	-0.00178393822654237
75	120.85	120.850558120956	-0.000558120955975707
76	120.93	120.92672425777	0.00327574222953511
77	120.89	120.889559811302	0.000440188697752413
78	120.61	120.611956402584	-0.00195640258390775
79	120.83	120.826660582376	0.00333941762389136
80	121.36	121.368255429566	-0.00825542956563806
81	121.57	121.570577069634	-0.00057706963389908
82	121.79	121.783195952774	0.00680404722589689

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	0.330585229937231	0.661170459874463	0.669414770062769
17	0.436479651099172	0.872959302198344	0.563520348900828
18	0.316538145131907	0.633076290263813	0.683461854868093
19	0.410697645736752	0.821395291473505	0.589302354263248
20	0.445263113353519	0.890526226707037	0.554736886646481
21	0.576211020854608	0.847577958290783	0.423788979145392
22	0.585889409236789	0.828221181526421	0.414110590763211
23	0.530628971372167	0.938742057255667	0.469371028627833
24	0.568149093532599	0.863701812934801	0.431850906467401
25	0.492736817272567	0.985473634545133	0.507263182727433
26	0.68047991867979	0.639040162640421	0.31952008132021
27	0.613484354191855	0.77303129161629	0.386515645808145
28	0.538441656341706	0.923116687316587	0.461558343658293
29	0.485037007101118	0.970074014202236	0.514962992898882
30	0.479946148831636	0.959892297663272	0.520053851168364
31	0.401821378232797	0.803642756465595	0.598178621767203
32	0.366384399469592	0.732768798939184	0.633615600530408
33	0.371709346570685	0.743418693141371	0.628290653429315
34	0.5326938868592	0.9346122262816	0.4673061131408
35	0.460849509781415	0.92169901956283	0.539150490218585
36	0.477028137887755	0.954056275775509	0.522971862112245
37	0.511390592367995	0.977218815264011	0.488609407632005
38	0.56389426813247	0.87221146373506	0.43610573186753
39	0.517493976606637	0.965012046786726	0.482506023393363
40	0.502559410228152	0.994881179543697	0.497440589771848
41	0.550281949942038	0.899436100115923	0.449718050057962
42	0.541349343367019	0.917301313265961	0.458650656632981
43	0.609646909579247	0.780706180841507	0.390353090420753
44	0.554532820931721	0.890934358136559	0.445467179068279
45	0.494083752906976	0.988167505813953	0.505916247093024
46	0.443917070463871	0.887834140927742	0.556082929536129
47	0.476309160434268	0.952618320868536	0.523690839565732
48	0.45541170631121	0.910823412622421	0.54458829368879
49	0.610888335895407	0.778223328209186	0.389111664104593
50	0.662193531439912	0.675612937120176	0.337806468560088
51	0.638367206194565	0.723265587610869	0.361632793805435
52	0.583394363585764	0.833211272828472	0.416605636414236
53	0.635789936546452	0.728420126907095	0.364210063453548
54	0.570236985694294	0.859526028611413	0.429763014305706
55	0.484418889968247	0.968837779936494	0.515581110031753
56	0.482443358669858	0.964886717339716	0.517556641330142
57	0.452481391288251	0.904962782576502	0.547518608711749
58	0.382758451931586	0.765516903863171	0.617241548068414
59	0.466706564700634	0.933413129401268	0.533293435299366
60	0.427310060545354	0.854620121090709	0.572689939454646
61	0.416019520433593	0.832039040867187	0.583980479566407
62	0.327506470576787	0.655012941153574	0.672493529423213
63	0.315653880467679	0.631307760935357	0.684346119532321
64	0.231803735036748	0.463607470073497	0.768196264963252
65	0.668573983486018	0.662852033027964	0.331426016513982
66	0.582705584965703	0.834588830068594	0.417294415034297

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	0	0	OK