Multiple Linear Regression - Estimated Regression Equation

Bouw[t] = + 1.59989141489623 + 2.91128188854254e-06NWWM[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)	1.59989141489623	0.623346	2.5666	0.012827	0.006414
NWWM	2.91128188854254e-06	2e-06	1.249	0.216611	0.108305

Multiple Linear Regression - Regression Statistics
Multiple R	0.160493568743607
R-squared	0.0257581856080589
Adjusted R-squared	0.00924561248277178
F-TEST (value)	1.55991349213849
F-TEST (DF numerator)	1
F-TEST (DF denominator)	59
p-value	0.216610691689592
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.328427337791871
Sum Squared Residuals	6.3640064563343

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	2.172	2.43427062671630	-0.262270626716297
2	2.15	2.42390646319309	-0.273906463193087
3	2.533	2.4054052667914	0.127594733208601
4	2.058	2.40898032095053	-0.35098032095053
5	2.16	2.40668914210425	-0.246689142104247
6	2.26	2.40661636005703	-0.146616360057033
7	2.498	2.40060165167530	0.097398348324696
8	2.695	2.38637421708600	0.308625782914003
9	2.799	2.37761125860148	0.421388741398516
10	2.947	2.37136073638678	0.575639263613217
11	2.93	2.43618333891707	0.493816661082929
12	2.318	2.44761594289338	-0.129615942893378
13	2.54	2.45085911091721	0.089140889082786
14	2.57	2.43888209722775	0.131117902772250
15	2.669	2.41935030703752	0.249649692962482
16	2.45	2.42278270838411	0.0272172916158904
17	2.842	2.41560348724696	0.426396512753036
18	3.44	2.41623814669867	1.02376185330133
19	2.678	2.40583904779279	0.272160952207208
20	2.981	2.40112277113335	0.579877228866646
21	2.26	2.39860742358165	-0.138607423581653
22	2.844	2.38975421535859	0.454245784641405
23	2.546	2.44358672875963	0.102413271240365
24	2.456	2.44627675322465	0.00972324677535187
25	2.295	2.45085911091721	-0.155859110917214
26	2.379	2.41070088854666	-0.0317008885466583
27	2.479	2.38543096175411	0.093569038245891
28	2.057	2.37388772906604	-0.316887729066038
29	2.28	2.38312522649838	-0.103125226498384
30	2.351	2.36898221908384	-0.0179822190838437
31	2.276	2.34284473028851	-0.066844730288509
32	2.548	2.33747341520415	0.210526584795852
33	2.311	2.31623270254534	-0.00523270254534151
34	2.201	2.28512565556626	-0.0841256555662644
35	2.725	2.35262081487023	0.372379185129765
36	2.408	2.35971560883261	0.0482843911673871
37	2.139	2.34128719447814	-0.202287194478139
38	1.898	2.32958384128620	-0.431583841286198
39	2.539	2.30856147476903	0.230438525230968
40	2.069	2.31928372596453	-0.250283725964534
41	2.063	2.32346432675648	-0.260464326756481
42	2.565	2.31326901758281	0.251730982417195
43	2.442	2.29009812503190	0.151901874968105
44	2.194	2.29011268144134	-0.0961126814413378
45	2.798	2.25654268998455	0.541457310015446
46	2.074	2.26028368721133	-0.186283687211331
47	2.628	2.32169717865014	0.306302821349864
48	2.289	2.32285878012366	-0.0338587801236641
49	2.154	2.31888779162769	-0.164887791627692
50	2.466	2.31344078321423	0.152559216785771
51	2.137	2.31683242661438	-0.179832426614381
52	1.846	2.34449542711931	-0.498495427119312
53	2.072	2.36939853239391	-0.297398532393905
54	1.786	2.38112517584095	-0.595125175840955
55	1.754	2.39480528943522	-0.640805289435216
56	2.226	2.39747493492701	-0.171474934927010
57	1.947	2.37845553034916	-0.431455530349161
58	1.823	2.39173970960658	-0.568739709606581
59	2.521	2.45205273649152	0.0689472635084834
60	2.072	2.46128441136008	-0.389284411360085
61	2.368	2.45744734183099	-0.089447341830986

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.219244649301972	0.438489298603944	0.780755350698028
6	0.102609586905533	0.205219173811066	0.897390413094467
7	0.0696071399422288	0.139214279884458	0.930392860057771
8	0.0478361783469515	0.095672356693903	0.952163821653048
9	0.0262402290183842	0.0524804580367684	0.973759770981616
10	0.0165759944834649	0.0331519889669297	0.983424005516535
11	0.470969503896485	0.94193900779297	0.529030496103515
12	0.383095878965274	0.766191757930548	0.616904121034726
13	0.356855158335535	0.713710316671071	0.643144841664465
14	0.302853995232906	0.605707990465813	0.697146004767094
15	0.261604661627685	0.523209323255369	0.738395338372315
16	0.192071567716268	0.384143135432535	0.807928432283732
17	0.221493104865527	0.442986209731054	0.778506895134473
18	0.831240035665003	0.337519928669994	0.168759964334997
19	0.806106679772393	0.387786640455214	0.193893320227607
20	0.886667198612617	0.226665602774766	0.113332801387383
21	0.879655965217148	0.240688069565703	0.120344034782852
22	0.909289164735625	0.181421670528750	0.0907108352643752
23	0.896881307275836	0.206237385448328	0.103118692724164
24	0.875321474898796	0.249357050202409	0.124678525101205
25	0.841867481193826	0.316265037612347	0.158132518806173
26	0.81659118182819	0.366817636343621	0.183408818171811
27	0.801318242204659	0.397363515590682	0.198681757795341
28	0.852217472734259	0.295565054531482	0.147782527265741
29	0.828826726569057	0.342346546861886	0.171173273430943
30	0.79633736167255	0.407325276654899	0.203662638327450
31	0.758996041023999	0.482007917952001	0.241003958976001
32	0.735539556133055	0.52892088773389	0.264460443866945
33	0.680807674621513	0.638384650756974	0.319192325378487
34	0.628999193754808	0.742001612490384	0.371000806245192
35	0.709713730695912	0.580572538608176	0.290286269304088
36	0.668371334577458	0.663257330845085	0.331628665422542
37	0.625026848544935	0.749946302910129	0.374973151455065
38	0.678564561178579	0.642870877642842	0.321435438821421
39	0.658782567171248	0.682434865657504	0.341217432828752
40	0.621936544215715	0.75612691156857	0.378063455784285
41	0.582865128664314	0.834269742671372	0.417134871335686
42	0.577549761174878	0.844900477650244	0.422450238825122
43	0.519444434135651	0.961111131728699	0.480555565864349
44	0.439766125429903	0.879532250859806	0.560233874570097
45	0.641545980475992	0.716908039048015	0.358454019524008
46	0.572742153801674	0.854515692396652	0.427257846198326
47	0.705323152189898	0.589353695620203	0.294676847810102
48	0.663018179376254	0.673963641247492	0.336981820623746
49	0.590011002885935	0.81997799422813	0.409988997114065
50	0.798365439598129	0.403269120803743	0.201634560401871
51	0.874681248978434	0.250637502043132	0.125318751021566
52	0.83253210169662	0.334935796606761	0.167467898303381
53	0.823124331035016	0.353751337929967	0.176875668964983
54	0.762666464517444	0.474667070965113	0.237333535482556
55	0.763461612966574	0.473076774066852	0.236538387033426
56	0.699881450640564	0.600237098718873	0.300118549359436

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	0.0192307692307692	OK
10% type I error level	3	0.0576923076923077	OK