Multiple Linear Regression - Estimated Regression Equation

Doorzettingsvermogen[t] = + 9.10670989479005 + 0.0983687635825629Zelfstandig[t] + 0.114902737545572Stressbestendig[t] + 0.0547641565639202Resultaatgericht[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)	9.10670989479005	1.966134	4.6318	8e-06	4e-06
Zelfstandig	0.0983687635825629	0.04705	2.0907	0.038164	0.019082
Stressbestendig	0.114902737545572	0.07151	1.6068	0.110106	0.055053
Resultaatgericht	0.0547641565639202	0.05335	1.0265	0.306232	0.153116

Multiple Linear Regression - Regression Statistics
Multiple R	0.235979985175149
R-squared	0.0556865534032635
Adjusted R-squared	0.0376423474173386
F-TEST (value)	3.08611825018518
F-TEST (DF numerator)	3
F-TEST (DF denominator)	157
p-value	0.0289723720819038
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.08490361191738
Sum Squared Residuals	682.451222144824

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	13	15.3295877415882	-2.32958774158818
2	16	15.0346936405833	0.965306359416669
3	19	14.6350090816399	4.36499091836014
4	15	14.6079384485842	0.39206155141578
5	14	15.3514961399689	-1.35149613996892
6	13	15.1229364457831	-2.12293644578308
7	19	14.7505347096381	4.24946529036192
8	15	14.9685577447313	0.0314422552687072
9	14	15.0946200318221	-1.09462003182214
10	15	15.4992546356977	-0.499254635697672
11	16	15.1500070788387	0.849992921161283
12	16	15.5653905315497	0.43460946845029
13	16	14.3010497178386	1.6989502821614
14	16	15.2308082772958	0.769191722704197
15	17	15.9646507110075	1.03534928899249
16	15	14.7829797671114	0.217020232888555
17	15	14.629846846965	0.370153153035039
18	20	15.8933525804806	4.10664741951942
19	18	15.4938802112799	2.50611978872006
20	16	14.91441647862	1.08558352137997
21	16	15.1330624041659	0.866937595834106
22	16	14.2415340273096	1.7584659726904
23	19	15.0557669587686	3.94423304123142
24	16	15.2529151866435	0.747084813356482
25	17	15.1936116858574	1.80638831414264
26	17	14.4386822551845	2.56131774481546
27	16	15.5381077087512	0.461892291248764
28	15	14.7383415689303	0.261658431069666
29	16	15.0074108177849	0.992589182215143
30	14	14.4930357110386	-0.493035711038648
31	15	15.0898684978571	-0.0898684978570646
32	12	14.6244724225472	-2.62447242254723
33	14	14.985714609147	-0.985714609146956
34	16	15.1270650892955	0.872934910704492
35	14	14.4331093197998	-0.433109319799836
36	10	15.1770777118944	-5.17707771189435
37	10	14.1212568653463	-4.1212568653463
38	14	14.897882504657	-0.897882504657017
39	16	15.2595353919666	0.740464608033443
40	16	14.8323694992576	1.16763050074237
41	16	14.8542778976384	1.14572210236163
42	14	15.1223135553304	-1.12231355533043
43	20	15.1882372614396	4.81176273856037
44	14	14.7174667617121	-0.717466761712061
45	14	14.570331156436	-0.570331156435963
46	11	14.5802449250759	-3.58024492507593
47	14	15.1595101467689	-1.15951014676887
48	15	15.1057795813674	-0.10577958136742
49	16	15.5647676410971	0.435232358902944
50	14	14.5697082659833	-0.569708265983309
51	16	15.3951007469876	0.604899253012436
52	14	14.1045243804163	-0.104524380416314
53	12	14.6573281807304	-2.65732818073041
54	16	14.8807256402414	1.11927435975865
55	9	14.6738621546934	-5.67386215469342
56	14	15.0946200318221	-1.09462003182214
57	16	15.1111540057852	0.888845994214848
58	16	15.0510154248035	0.9489845751965
59	15	15.0125730524597	-0.012573052459749
60	16	14.8705996818585	1.12940031814146
61	12	13.766011993617	-1.76601199361696
62	16	14.8212099497124	1.17879005028764
63	16	14.7993015513316	1.20069844866839
64	14	15.2535380770962	-1.25353807709617
65	16	14.5916166643641	1.40838333563595
66	17	14.5806556257857	2.41934437421425
67	18	14.9359004975151	3.06409950248491
68	18	14.7993015513316	3.20069844866839
69	12	14.0177258670888	-2.01772586708884
70	16	15.6959921628628	0.304007837137202
71	10	15.1270650892955	-5.12706508929551
72	14	15.0780860578591	-1.07808605785913
73	18	15.6689215298072	2.33107847019284
74	18	15.4333309295885	2.56666907041153
75	16	15.7943609264454	0.205639073554639
76	17	14.2969210743262	2.70307892567382
77	16	14.2580680012726	1.74193199872739
78	16	15.4663988775145	0.533601122485507
79	13	14.6356319720925	-1.63563197209251
80	16	15.0297299168754	0.970270083124588
81	16	13.9683361349427	2.03166386505735
82	16	15.5215737347882	0.478426265211773
83	15	15.0723009327316	-0.0723009327315877
84	15	15.1223135553304	-0.12231355533043
85	16	15.1605437379313	0.83945626206866
86	14	14.805298866202	-0.805298866202
87	16	15.8166800255359	0.183319974464084
88	16	14.9908768438218	1.00912315617815
89	15	14.4601799528555	0.539820047144531
90	12	13.4857831952172	-1.48578319521716
91	17	15.5323225836237	1.46767741637631
92	16	14.6244724225472	1.37552757745277
93	15	15.7943609264454	-0.794360926445361
94	13	14.4554284188904	-1.45542841889039
95	16	14.482499051946	1.51750094805398
96	16	15.4174198460781	0.582580153921881
97	16	14.8594401323133	1.14055986768673
98	16	14.7505347096381	1.24946529036192
99	14	15.2260567433307	-1.22605674333072
100	16	15.3025171085325	0.697482891467454
101	16	15.6418508967515	0.358149103248469
102	20	14.8594401323133	5.14055986768673
103	15	15.4062602965328	-0.406260296532841
104	16	13.891663579998	2.10833642000201
105	13	15.6523875558442	-2.65238755584415
106	17	14.2743897854928	2.72561021450722
107	16	15.2642869259316	0.735713074068365
108	16	15.4333309295885	0.566669070411526
109	12	14.6296346572221	-2.62963465722212
110	16	14.8253385932248	1.17466140677522
111	16	15.2153078944953	0.784692105504739
112	17	14.6025640241665	2.39743597583351
113	13	15.6740837644821	-2.67408376448206
114	12	14.7282156105475	-2.72821561054752
115	18	15.3409594808763	2.6590405191237
116	14	15.1334731048757	-1.13347310487571
117	14	15.1977403293698	-1.19774032936978
118	13	15.5810894253172	-2.58108942531723
119	16	14.9797172942766	1.02028270572343
120	13	15.2423785275509	-2.24237852755089
121	16	14.9466493463506	1.05335065364945
122	13	13.9189464027965	-0.918946402796466
123	16	15.6523875558442	0.347612444155845
124	15	15.3349621660059	-0.334962166005911
125	16	14.4820883512362	1.51791164876379
126	15	14.9966619689494	0.0033380310506066
127	17	15.1388475292934	1.86115247070656
128	15	15.9369571874992	-0.93695718749922
129	12	15.5978355890231	-3.59783558902308
130	16	14.897882504657	1.10211749534298
131	10	14.7776053426937	-4.77760534269371
132	16	14.1648614723649	1.83513852763506
133	12	15.455650028679	-3.45565002867903
134	14	14.2741912745258	-0.274191274525807
135	15	15.280198009442	-0.280198009441991
136	13	14.9478951272559	-1.94789512725586
137	15	13.1371585288109	1.86284147118915
138	11	15.3083022336601	-4.30830223366009
139	12	14.6897732382038	-2.68977323820377
140	11	15.2153078944953	-4.21530789449526
141	16	14.9743428698588	1.02565713014116
142	15	14.6129021722921	0.387097827707862
143	17	15.5705527662246	1.4294472337754
144	16	15.0892456074044	0.91075439259559
145	10	13.7499023991396	-3.74990239913963
146	18	14.9255760281653	3.0744239718347
147	13	14.3678085041433	-1.36780850414329
148	16	14.7333778452224	1.26662215477758
149	13	14.4112009214191	-1.41120092141909
150	10	14.1648614723649	-4.16486147236494
151	15	15.7125261368258	-0.712526136825807
152	16	15.0615520838961	0.938447916103876
153	16	15.4498649035515	0.550135096448516
154	14	15.3624434997714	-1.36244349977136
155	10	14.6903961286564	-4.69039612865643
156	17	14.6244724225472	2.37552757745277
157	13	15.1764548214417	-2.1764548214417
158	15	15.8168922152788	-0.816892215278756
159	16	14.7340007356751	1.26599926432493
160	12	15.0450181099331	-3.04501810993311
161	13	14.8536550071857	-1.85365500718572

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
7	0.720024682673634	0.559950634652732	0.279975317326366
8	0.60713754636884	0.785724907262319	0.39286245363116
9	0.48418872835735	0.968377456714701	0.51581127164265
10	0.507355092127232	0.985289815745537	0.492644907872768
11	0.437213876950248	0.874427753900495	0.562786123049752
12	0.486557475193838	0.973114950387677	0.513442524806162
13	0.42150788188858	0.84301576377716	0.57849211811142
14	0.364179013690205	0.72835802738041	0.635820986309795
15	0.419738392664426	0.839476785328852	0.580261607335574
16	0.34837228184741	0.69674456369482	0.65162771815259
17	0.281738162810483	0.563476325620967	0.718261837189517
18	0.499761411845013	0.999522823690025	0.500238588154987
19	0.444266954063225	0.88853390812645	0.555733045936775
20	0.380616751782518	0.761233503565035	0.619383248217482
21	0.337443279624634	0.674886559249269	0.662556720375366
22	0.276961654413225	0.553923308826451	0.723038345586775
23	0.38965009952431	0.77930019904862	0.61034990047569
24	0.343367753604105	0.686735507208209	0.656632246395895
25	0.306315155155378	0.612630310310756	0.693684844844622
26	0.26167240404785	0.5233448080957	0.73832759595215
27	0.214845294656734	0.429690589313467	0.785154705343266
28	0.171480409995663	0.342960819991327	0.828519590004337
29	0.134490157711297	0.268980315422593	0.865509842288703
30	0.137528395034355	0.27505679006871	0.862471604965645
31	0.11160780634766	0.22321561269532	0.88839219365234
32	0.190315060759759	0.380630121519519	0.809684939240241
33	0.163784003457112	0.327568006914225	0.836215996542888
34	0.130691826338915	0.261383652677829	0.869308173661085
35	0.104994653746344	0.209989307492687	0.895005346253656
36	0.385951445744467	0.771902891488934	0.614048554255533
37	0.606460221896452	0.787079556207096	0.393539778103548
38	0.565413291366215	0.86917341726757	0.434586708633785
39	0.518585784208524	0.962828431582952	0.481414215791476
40	0.474204599589164	0.948409199178327	0.525795400410836
41	0.4351225825749	0.8702451651498	0.5648774174251
42	0.403002555248286	0.806005110496572	0.596997444751714
43	0.606733426637699	0.786533146724602	0.393266573362301
44	0.570955689534015	0.85808862093197	0.429044310465985
45	0.520598248357351	0.958803503285297	0.479401751642649
46	0.642585323463583	0.714829353072835	0.357414676536417
47	0.618485661459758	0.763028677080483	0.381514338540242
48	0.571719224707173	0.856561550585654	0.428280775292827
49	0.523703160446029	0.952593679107943	0.476296839553971
50	0.476611811147101	0.953223622294202	0.523388188852899
51	0.429152319347944	0.858304638695888	0.570847680652056
52	0.385269410728375	0.770538821456749	0.614730589271625
53	0.426019554755598	0.852039109511196	0.573980445244402
54	0.387045412334152	0.774090824668305	0.612954587665848
55	0.681351786681281	0.637296426637437	0.318648213318719
56	0.653070306067623	0.693859387864755	0.346929693932377
57	0.614572648457632	0.770854703084736	0.385427351542368
58	0.576174293652149	0.847651412695701	0.423825706347851
59	0.529162903796963	0.941674192406073	0.470837096203037
60	0.494452954850428	0.988905909700857	0.505547045149571
61	0.470600160806775	0.941200321613551	0.529399839193225
62	0.437957418102841	0.875914836205682	0.562042581897159
63	0.404397440979983	0.808794881959966	0.595602559020017
64	0.382993013340762	0.765986026681523	0.617006986659238
65	0.364145923297449	0.728291846594898	0.635854076702551
66	0.377765764864214	0.755531529728428	0.622234235135786
67	0.411561717439495	0.82312343487899	0.588438282560505
68	0.462904424959086	0.925808849918171	0.537095575040914
69	0.445178109508901	0.890356219017801	0.554821890491099
70	0.40972336912944	0.81944673825888	0.59027663087056
71	0.65609256077655	0.687814878446899	0.34390743922345
72	0.627815034077327	0.744369931845346	0.372184965922673
73	0.629393238264593	0.741213523470815	0.370606761735407
74	0.6436143095146	0.712771380970801	0.3563856904854
75	0.611218657029718	0.777562685940564	0.388781342970282
76	0.653182754271926	0.693634491456147	0.346817245728074
77	0.646095142371413	0.707809715257175	0.353904857628587
78	0.606170757348796	0.787658485302407	0.393829242651204
79	0.587915307336956	0.824169385326088	0.412084692663044
80	0.553670182424877	0.892659635150245	0.446329817575123
81	0.563653078200822	0.872693843598355	0.436346921799178
82	0.524907464205654	0.950185071588691	0.475092535794346
83	0.479556295387849	0.959112590775698	0.520443704612151
84	0.435071509475574	0.870143018951148	0.564928490524426
85	0.399587065486295	0.79917413097259	0.600412934513705
86	0.361961504909767	0.723923009819533	0.638038495090233
87	0.327450378326788	0.654900756653575	0.672549621673212
88	0.298360900992012	0.596721801984024	0.701639099007988
89	0.262870655583249	0.525741311166499	0.737129344416751
90	0.249355987279415	0.498711974558829	0.750644012720585
91	0.236772451109629	0.473544902219259	0.763227548890371
92	0.219228024402941	0.438456048805882	0.780771975597059
93	0.19602546953484	0.392050939069681	0.80397453046516
94	0.176666236633998	0.353332473267997	0.823333763366002
95	0.165723842094647	0.331447684189294	0.834276157905353
96	0.143610806409588	0.287221612819175	0.856389193590412
97	0.127705904988781	0.255411809977561	0.872294095011219
98	0.116478209260594	0.232956418521187	0.883521790739406
99	0.101062657089476	0.202125314178952	0.898937342910524
100	0.0863015515354114	0.172603103070823	0.913698448464589
101	0.073511305193812	0.147022610387624	0.926488694806188
102	0.216228358380848	0.432456716761696	0.783771641619152
103	0.185413086028952	0.370826172057905	0.814586913971048
104	0.191742330487351	0.383484660974701	0.80825766951265
105	0.205523928074484	0.411047856148967	0.794476071925517
106	0.260394917701553	0.520789835403106	0.739605082298447
107	0.232998847603539	0.465997695207078	0.767001152396461
108	0.202701204099974	0.405402408199948	0.797298795900026
109	0.210926820026606	0.421853640053212	0.789073179973394
110	0.185971992458695	0.37194398491739	0.814028007541305
111	0.170336099390533	0.340672198781067	0.829663900609467
112	0.214793301931007	0.429586603862014	0.785206698068993
113	0.22046129580775	0.440922591615501	0.77953870419225
114	0.235705596493112	0.471411192986223	0.764294403506888
115	0.277230904318269	0.554461808636538	0.722769095681731
116	0.242375287693	0.484750575386	0.757624712307
117	0.219180637473459	0.438361274946919	0.780819362526541
118	0.222823572481776	0.445647144963552	0.777176427518224
119	0.202474458505505	0.404948917011009	0.797525541494495
120	0.190023579614601	0.380047159229202	0.809976420385399
121	0.172112292538968	0.344224585077937	0.827887707461032
122	0.145828063724817	0.291656127449634	0.854171936275183
123	0.126226374181912	0.252452748363823	0.873773625818088
124	0.100754716821638	0.201509433643275	0.899245283178362
125	0.0900951511278281	0.180190302255656	0.909904848872172
126	0.0789737658633166	0.157947531726633	0.921026234136683
127	0.0929905670801892	0.185981134160378	0.907009432919811
128	0.074753845185013	0.149507690370026	0.925246154814987
129	0.105258249875518	0.210516499751036	0.894741750124482
130	0.094972078255248	0.189944156510496	0.905027921744752
131	0.168049146737619	0.336098293475238	0.831950853262381
132	0.205354723272844	0.410709446545688	0.794645276727156
133	0.232650798553658	0.465301597107317	0.767349201446342
134	0.192756871076552	0.385513742153104	0.807243128923448
135	0.154018393981302	0.308036787962604	0.845981606018698
136	0.125288720704515	0.250577441409031	0.874711279295485
137	0.170120301840831	0.340240603681662	0.829879698159169
138	0.229968763197332	0.459937526394665	0.770031236802667
139	0.208220314381777	0.416440628763554	0.791779685618223
140	0.331314046495504	0.662628092991007	0.668685953504496
141	0.305201481184918	0.610402962369835	0.694798518815082
142	0.258148970084571	0.516297940169142	0.741851029915429
143	0.215067603145293	0.430135206290587	0.784932396854707
144	0.183853082008576	0.367706164017152	0.816146917991424
145	0.221056303446773	0.442112606893546	0.778943696553227
146	0.335460776563551	0.670921553127102	0.664539223436449
147	0.277092685147665	0.554185370295331	0.722907314852335
148	0.321778080876589	0.643556161753179	0.678221919123411
149	0.240705236988973	0.481410473977947	0.759294763011027
150	0.25295206536865	0.505904130737301	0.74704793463135
151	0.174708921553019	0.349417843106037	0.825291078446981
152	0.152584714713185	0.305169429426369	0.847415285286815
153	0.107745002402583	0.215490004805166	0.892254997597417
154	0.11843511389507	0.23687022779014	0.88156488610493

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