Multiple Linear Regression - Estimated Regression Equation

slaap[t] = + 2.888164675015 -0.00194428057832854`aantal-dagen-dat-baby-in-buik-is`[t] -0.204810229975063`danger-high-voltage`[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)	2.888164675015	0.154129	18.7387	0	0
`aantal-dagen-dat-baby-in-buik-is`	-0.00194428057832854	0.000556	-3.4955	0.000905	0.000453
`danger-high-voltage`	-0.204810229975063	0.056433	-3.6293	0.000595	0.000298

Multiple Linear Regression - Regression Statistics
Multiple R	0.648596505305391
R-squared	0.420677426694366
Adjusted R-squared	0.401039373361971
F-TEST (value)	21.4215441609189
F-TEST (DF numerator)	2
F-TEST (DF denominator)	59
p-value	1.01426936405247e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.580105600010601
Sum Squared Residuals	19.8548279226559

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1.194	1.01967301206789	0.174326987932111
2	2.116	2.19207420080001	-0.076074200800009
3	2.526	2.56669761034022	-0.0406976103402205
4	2.803	2.22512697063159	0.577873029368406
5	1.361	0.855692674237737	0.505307325762263
6	2.282	1.71895325101561	0.563046748984392
7	2.981	2.61530462479843	0.365695375201565
8	1.825	1.30676576840996	0.518234231590042
9	2.674	2.56086476860524	0.113135231394764
10	2.272	2.23616991202437	0.0358300879756299
11	2.526	1.85116433034195	0.674835669658051
12	1.361	1.31777068262936	0.0432293173706377
13	2.332	2.47854421506487	-0.146544215064871
14	1.131	1.15445111404977	-0.0234511140497651
15	2.128	2.60169466075014	-0.473694660750135
16	2.152	2.42410435887167	-0.272104358871672
17	2.37	2.39688443077507	-0.0268844307750720
18	2.37	2.24523054566545	0.124769454334554
19	1.808	2.68335444503993	-0.875354445039934
20	2.896	2.68335444503993	0.212645554960066
21	0	1.08640129380827	-1.08640129380827
22	1.335	1.57635999954706	-0.241359999547058
23	2.667	2.44743572581161	0.219564274188386
24	2.485	2.19339573930114	0.291604260698858
25	1.825	2.08062746575809	-0.255627465758087
26	2.565	2.56086476860524	0.00413523139476413
27	2.625	2.21929412889661	0.405705871103391
28	2.104	1.93671267578840	0.167287324211596
29	1.065	1.21083525082129	-0.145835250821293
30	2.38	2.48892638720708	-0.10892638720708
31	0	2.00476249602990	-2.00476249602990
32	2.208	2.02712172268068	0.180878277319319
33	2.991	2.58614041612351	0.404859583876493
34	2.079	2.16423153062621	-0.0852315306262139
35	2.361	2.62502602769008	-0.264026027690077
36	2.416	2.18624135906502	0.229758640934976
37	2.58	2.23679265410157	0.343207345898435
38	2.549	2.21540556773995	0.333594432260048
39	2.965	2.66002307809999	0.304976921900009
40	2.856	2.45004077564051	0.405959224359491
41	0	1.00863007067512	-1.00863007067512
42	2.833	2.20634493409888	0.626655065901125
43	2.389	1.73839605679889	0.650603943201107
44	2.617	2.44549144523329	0.171508554766714
45	2.128	1.84533148860696	0.282668511393037
46	2.128	1.80384082721150	0.324159172788503
47	2.526	2.35605453863017	0.169945461369827
48	2.58	2.23290409294491	0.347095907055092
49	2.282	2.58225185496685	-0.300251854966850
50	2.262	2.15968220021899	0.102317799781010
51	1.887	2.04108108494095	-0.154081084940950
52	1.686	1.83627085496589	-0.150270854965887
53	0.956	1.5724714383904	-0.616471438390401
54	1.335	1.57052715781207	-0.235527157812072
55	2.398	2.30355896301530	0.0944410369846979
56	2.332	2.47854421506487	-0.146544215064871
57	2.588	2.36188738036516	0.226112619634842
58	1.686	1.8848778694241	-0.1988778694241
59	2.76	2.38910730846176	0.370892691538242
60	2.332	1.66062483366575	0.671375166334248
61	2.965	2.65613451694333	0.308865483056666
62	0	2.60947178306345	-2.60947178306345

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.119406534340869	0.238813068681739	0.880593465659131
7	0.0899117498651155	0.179823499730231	0.910088250134884
8	0.0400325494119201	0.0800650988238403	0.95996745058808
9	0.0152709439691955	0.0305418879383910	0.984729056030805
10	0.00550050569426642	0.0110010113885328	0.994499494305734
11	0.00253428711599112	0.00506857423198224	0.99746571288401
12	0.00643231704257774	0.0128646340851555	0.993567682957422
13	0.00523183597804667	0.0104636719560933	0.994768164021953
14	0.00561619752008504	0.0112323950401701	0.994383802479915
15	0.00866221581068628	0.0173244316213726	0.991337784189314
16	0.00664763055756503	0.0132952611151301	0.993352369442435
17	0.00323649685258929	0.00647299370517858	0.99676350314741
18	0.00149862865720682	0.00299725731441365	0.998501371342793
19	0.0075200360608555	0.015040072121711	0.992479963939145
20	0.00523867526585456	0.0104773505317091	0.994761324734145
21	0.0848809162930255	0.169761832586051	0.915119083706974
22	0.0637599544611239	0.127519908922248	0.936240045538876
23	0.0445051691343771	0.0890103382687542	0.955494830865623
24	0.0318842251844771	0.0637684503689543	0.968115774815523
25	0.0226122560210625	0.045224512042125	0.977387743978938
26	0.0136726275197918	0.0273452550395837	0.986327372480208
27	0.0104179505443756	0.0208359010887511	0.989582049455624
28	0.00617852010014867	0.0123570402002973	0.993821479899851
29	0.00383828795614049	0.00767657591228099	0.99616171204386
30	0.00214711893380799	0.00429423786761598	0.997852881066192
31	0.263335953209698	0.526671906419397	0.736664046790302
32	0.214934369329073	0.429868738658145	0.785065630670927
33	0.186830877082073	0.373661754164145	0.813169122917927
34	0.147294754974501	0.294589509949003	0.852705245025499
35	0.114295415519837	0.228590831039674	0.885704584480163
36	0.0857337052714964	0.171467410542993	0.914266294728504
37	0.0661490540398806	0.132298108079761	0.93385094596012
38	0.0494810401368622	0.0989620802737244	0.950518959863138
39	0.0361135338083238	0.0722270676166475	0.963886466191676
40	0.0315055327046801	0.0630110654093602	0.96849446729532
41	0.0602582473039364	0.120516494607873	0.939741752696064
42	0.0662556634571288	0.132511326914258	0.933744336542871
43	0.0665967637324185	0.133193527464837	0.933403236267581
44	0.047113129559459	0.094226259118918	0.95288687044054
45	0.0323039294796008	0.0646078589592016	0.9676960705204
46	0.0215127696665323	0.0430255393330646	0.978487230333468
47	0.0141512029446865	0.0283024058893729	0.985848797055314
48	0.0108126013432680	0.0216252026865360	0.989187398656732
49	0.00639294351323836	0.0127858870264767	0.993607056486762
50	0.00353362905828807	0.00706725811657614	0.996466370941712
51	0.00173026837289619	0.00346053674579238	0.998269731627104
52	0.000788105149310448	0.00157621029862090	0.99921189485069
53	0.000908310286529943	0.00181662057305989	0.99909168971347
54	0.00488128014855718	0.00976256029711437	0.995118719851443
55	0.00286753003116067	0.00573506006232133	0.99713246996884
56	0.00431649110942338	0.00863298221884676	0.995683508890577

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	12	0.235294117647059	NOK
5% type I error level	29	0.568627450980392	NOK
10% type I error level	37	0.725490196078431	NOK