Multiple Linear Regression - Estimated Regression Equation

tot_indus[t] = + 92.7500732489502 + 0.0894748397840029prijsindex[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)	92.7500732489502	2.371316	39.1133	0	0
prijsindex	0.0894748397840029	0.015109	5.9221	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.575011290154962
R-squared	0.330637983805674
Adjusted R-squared	0.321210349774768
F-TEST (value)	35.071151756821
F-TEST (DF numerator)	1
F-TEST (DF denominator)	71
p-value	1.03454354749566e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	6.46580416981606
Sum Squared Residuals	2968.27027293117

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	97.6	100.167537467044	-2.56753746704385
2	96.9	100.248064822850	-3.34806482284963
3	105.6	100.462804438331	5.13719556166878
4	102.8	100.453856954353	2.34614304564719
5	101.7	100.462804438331	1.23719556166879
6	104.2	100.695439021770	3.50456097823038
7	92.7	100.767018893597	-8.06701889359682
8	91.9	100.605964181986	-8.70596418198561
9	106.5	100.650701601878	5.84929839812238
10	112.3	100.677544053813	11.6224559461872
11	102.8	100.892283669294	1.90771633070557
12	96.5	100.937021089186	-4.43702108918643
13	101	101.285972964344	-0.285972964344038
14	98.9	101.581239935631	-2.68123993563124
15	105.1	101.688609743372	3.41139025662794
16	103	101.572292451653	1.42770754834715
17	99	101.724399679286	-2.72439967928565
18	104.3	101.715452195307	2.58454780469275
19	94.6	101.733347163264	-7.13334716326406
20	90.4	101.822822003048	-11.4228220030480
21	108.9	101.965981746702	6.93401825329755
22	111.4	102.511778269385	8.88822173061513
23	100.8	102.717570400888	-1.91757040088809
24	102.5	102.959152468305	-0.45915246830489
25	98.2	103.648108734642	-5.44810873464171
26	98.7	104.167062805389	-5.46706280538892
27	113.3	104.372854936892	8.92714506310786
28	104.6	104.202852741303	0.397147258697465
29	99.3	103.800215962275	-4.50021596227452
30	111.8	103.844953382167	7.95504661783348
31	97.3	104.149167837432	-6.84916783743213
32	97.7	104.167062805389	-6.46706280538892
33	115.6	104.238642677216	11.3613573227839
34	111.9	104.507067196568	7.39293280343187
35	107	104.838124103769	2.16187589623105
36	107.1	104.739701780007	2.36029821999345
37	100.6	105.679187597739	-5.07918759773858
38	99.2	105.929717149134	-6.72971714913378
39	108.4	106.251826572356	2.14817342764381
40	103	106.054981924831	-3.05498192483139
41	99.8	105.401815594408	-5.60181559440817
42	115	105.178128494948	9.82187150505184
43	90.8	105.258655850754	-14.4586558507538
44	95.9	105.777609921501	-9.87760992150097
45	114.4	105.983402053004	8.41659794699582
46	108.2	106.037086956875	2.16291304312542
47	112.6	106.269721540313	6.330278459687
48	109.1	106.842360514931	2.25763948506938
49	105	107.737108912771	-2.73710891277064
50	105	108.166588143734	-3.16658814373385
51	118.5	108.273957951475	10.2260420485253
52	103.7	109.526605708451	-5.8266057084507
53	112.5	111.137152824563	1.36284717543725
54	116.6	110.206614490809	6.39338550919088
55	96.6	111.047677984779	-14.4476779847787
56	101.9	111.047677984779	-9.14767798477874
57	116.5	110.797148433384	5.70285156661647
58	119.3	111.271365084239	8.02863491576125
59	115.4	111.235575148325	4.16442485167486
60	108.5	111.593474507461	-3.09347450746116
61	111.5	111.638211927353	-0.138211927353162
62	108.8	111.987163802511	-3.18716380251078
63	121.8	112.783489876588	9.0165101234116
64	109.6	114.062980085500	-4.46298008549964
65	112.2	114.125612473348	-1.92561247334844
66	119.6	113.293496463357	6.30650353664278
67	104.1	113.526131046796	-9.42613104679563
68	105.3	112.622435164977	-7.3224351649772
69	115	112.577697745085	2.42230225491481
70	124.1	113.087704331854	11.0122956681460
71	116.8	112.524012841215	4.27598715878521
72	107.5	111.861899026813	-4.36189902681317
73	115.6	114.528249252376	1.07175074762354

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.0319639094773833	0.0639278189547667	0.968036090522617
6	0.0197160748225516	0.0394321496451032	0.980283925177448
7	0.282727297028859	0.565454594057717	0.717272702971141
8	0.354741574244864	0.709483148489729	0.645258425755135
9	0.382676109212534	0.765352218425068	0.617323890787466
10	0.596172124215436	0.807655751569129	0.403827875784564
11	0.49232164049791	0.98464328099582	0.50767835950209
12	0.467329840723497	0.934659681446994	0.532670159276503
13	0.371800573129838	0.743601146259676	0.628199426870162
14	0.294548329632424	0.589096659264847	0.705451670367576
15	0.244476907461215	0.488953814922431	0.755523092538785
16	0.180340038590628	0.360680077181255	0.819659961409372
17	0.138558124751222	0.277116249502443	0.861441875248778
18	0.102250743980364	0.204501487960728	0.897749256019636
19	0.114148094166760	0.228296188333521	0.88585190583324
20	0.195051310543186	0.390102621086371	0.804948689456814
21	0.243458948061537	0.486917896123074	0.756541051938463
22	0.311189470800739	0.622378941601479	0.68881052919926
23	0.255090014838525	0.510180029677049	0.744909985161476
24	0.198471790994179	0.396943581988358	0.801528209005821
25	0.178115909718483	0.356231819436966	0.821884090281517
26	0.150179458737817	0.300358917475633	0.849820541262183
27	0.218833851905625	0.437667703811249	0.781166148094375
28	0.169247901987065	0.338495803974131	0.830752098012935
29	0.146202188369024	0.292404376738049	0.853797811630976
30	0.168912604926047	0.337825209852094	0.831087395073953
31	0.174921318865987	0.349842637731974	0.825078681134013
32	0.171298584079401	0.342597168158802	0.8287014159206
33	0.280666060740471	0.561332121480942	0.719333939259529
34	0.29278443092875	0.5855688618575	0.70721556907125
35	0.2415883245458	0.4831766490916	0.7584116754542
36	0.19745837138399	0.39491674276798	0.80254162861601
37	0.182993133432544	0.365986266865089	0.817006866567456
38	0.183760655942888	0.367521311885776	0.816239344057112
39	0.146602743117863	0.293205486235726	0.853397256882137
40	0.116615124542907	0.233230249085815	0.883384875457093
41	0.105719022947314	0.211438045894627	0.894280977052686
42	0.153695378275534	0.307390756551069	0.846304621724466
43	0.350903151530992	0.701806303061985	0.649096848469008
44	0.465994767268112	0.931989534536224	0.534005232731888
45	0.488683922484923	0.977367844969845	0.511316077515077
46	0.423560305930670	0.847120611861339	0.57643969406933
47	0.405017883294799	0.810035766589599	0.594982116705201
48	0.343017979784634	0.686035959569268	0.656982020215366
49	0.291229850082631	0.582459700165262	0.708770149917369
50	0.252533265549339	0.505066531098678	0.747466734450661
51	0.327315954736439	0.654631909472878	0.672684045263561
52	0.306576864075829	0.613153728151658	0.693423135924171
53	0.244960542882131	0.489921085764261	0.75503945711787
54	0.243279300662678	0.486558601325356	0.756720699337322
55	0.510379139432064	0.979241721135872	0.489620860567936
56	0.639446905117406	0.721106189765188	0.360553094882594
57	0.590727043183283	0.818545913633435	0.409272956816717
58	0.608776133699262	0.782447732601477	0.391223866300738
59	0.554441911140184	0.891116177719632	0.445558088859816
60	0.481036602794686	0.962073205589372	0.518963397205314
61	0.386479445973091	0.772958891946181	0.613520554026909
62	0.325933381738894	0.651866763477789	0.674066618261105
63	0.384375768608354	0.768751537216708	0.615624231391646
64	0.323583921151287	0.647167842302574	0.676416078848713
65	0.240000861981640	0.480001723963279	0.75999913801836
66	0.210900404627596	0.421800809255192	0.789099595372404
67	0.341144421200151	0.682288842400302	0.658855578799849
68	0.439256042860627	0.878512085721254	0.560743957139373

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	1	0.015625	OK
10% type I error level	2	0.03125	OK