Multiple Linear Regression - Estimated Regression Equation

britse_pond[t] = + 0.136039597495012 -0.0837778395373193Zwitserse_frank[t] + 1.12933820928760`Britse_pond_-1`[t] -0.155747217813694`Britse_pond_-2`[t] + 0.00722085111187932M1[t] + 0.000961566541320923M2[t] + 0.0125782436648632M3[t] -0.000865431373813849M4[t] + 0.00785537504436781M5[t] + 0.0073783304629954M6[t] + 0.00229776282336032M7[t] + 0.00716246700968827M8[t] + 0.0033528548036246M9[t] + 0.00607844505430859M10[t] + 0.00488969511372625M11[t] + 0.000143463291902331t + 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)	0.136039597495012	0.063436	2.1445	0.037823	0.018911
Zwitserse_frank	-0.0837778395373193	0.054173	-1.5465	0.129487	0.064744
`Britse_pond_-1`	1.12933820928760	0.149549	7.5516	0	0
`Britse_pond_-2`	-0.155747217813694	0.169166	-0.9207	0.362477	0.181238
M1	0.00722085111187932	0.005727	1.2608	0.214325	0.107162
M2	0.000961566541320923	0.005705	0.1685	0.866967	0.433483
M3	0.0125782436648632	0.005729	2.1955	0.033708	0.016854
M4	-0.000865431373813849	0.005805	-0.1491	0.882207	0.441104
M5	0.00785537504436781	0.005738	1.3691	0.178252	0.089126
M6	0.0073783304629954	0.005725	1.2888	0.204527	0.102264
M7	0.00229776282336032	0.005703	0.4029	0.689055	0.344527
M8	0.00716246700968827	0.0057	1.2566	0.215825	0.107913
M9	0.0033528548036246	0.005698	0.5884	0.559383	0.279691
M10	0.00607844505430859	0.005695	1.0673	0.291946	0.145973
M11	0.00488969511372625	0.005987	0.8168	0.418665	0.209332
t	0.000143463291902331	0.000112	1.2752	0.209232	0.104616

Multiple Linear Regression - Regression Statistics
Multiple R	0.973851080073204
R-squared	0.948385926159746
Adjusted R-squared	0.929952328359655
F-TEST (value)	51.4487696023764
F-TEST (DF numerator)	15
F-TEST (DF denominator)	42
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.00845799712280262
Sum Squared Residuals	0.00300458404383217

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	0.62915	0.631895130109449	-0.00274513010944870
2	0.62168	0.620996305598852	0.000683694401148332
3	0.61328	0.624681907751489	-0.0114019077514888
4	0.6089	0.603971865214723	0.00492813478527658
5	0.60857	0.609951910753599	-0.00138191075359847
6	0.62672	0.609852420613504	0.0168675793864960
7	0.62291	0.627399469439532	-0.00448946943953186
8	0.62393	0.626283380411506	-0.00235338041150552
9	0.61838	0.625451665284673	-0.00707166528467286
10	0.62012	0.621173540183522	-0.00105354018352215
11	0.61659	0.622991210213683	-0.0064012102136835
12	0.6116	0.613736080835466	-0.00213608083546645
13	0.61573	0.616827430297297	-0.00109743029729740
14	0.61407	0.616320510118964	-0.00225051011896407
15	0.62823	0.626283202517442	0.00194679748255837
16	0.64405	0.627984670386644	0.016065329613356
17	0.6387	0.653322335006928	-0.014622335006928
18	0.63633	0.644382339904512	-0.00805233990451194
19	0.63059	0.637493040424672	-0.00690304042467217
20	0.62994	0.636379549703856	-0.00643954970385632
21	0.63709	0.632680630952973	0.00440936904702711
22	0.64217	0.643675421679822	-0.00150542167982209
23	0.65711	0.647739491996272	0.00937050800372833
24	0.66977	0.658630354605163	0.0111396453948369
25	0.68255	0.677789293841361	0.00476070615863913
26	0.68902	0.681881031216325	0.00713896878367483
27	0.71322	0.697357383667039	0.0158626163329613
28	0.70224	0.708234759393614	-0.00599475939361406
29	0.70045	0.700385256937636	6.47430623638514e-05
30	0.69919	0.700376976285619	-0.00118697628561933
31	0.69693	0.693675737301494	0.00325426269850557
32	0.69763	0.696235686297689	0.00139431370231089
33	0.69278	0.692832395527146	-5.23955271461109e-05
34	0.70196	0.69050051376409	0.0114594862359105
35	0.69215	0.699631236296295	-0.00748123629629452
36	0.6769	0.681731347817392	-0.00483134781739225
37	0.67124	0.673937312909329	-0.00269731290932901
38	0.66532	0.664835049864073	0.000484950135927078
39	0.67157	0.672022571574559	-0.000452571574559055
40	0.66428	0.668445326227665	-0.00416532622766519
41	0.66576	0.667449833132316	-0.00168983313231583
42	0.66942	0.668942868887867	0.000477131112133344
43	0.6813	0.667540014009798	0.0137599859902020
44	0.69144	0.685436573516936	0.00600342648306443
45	0.69862	0.693130971727608	0.0054890282723924
46	0.695	0.701289484799096	-0.00628948479909576
47	0.69867	0.69415806149375	0.00451193850624968
48	0.68968	0.693852216741978	-0.00417221674197820
49	0.69233	0.690550832842564	0.00177916715743597
50	0.68293	0.688987103201786	-0.00605710320178615
51	0.68399	0.689944934489472	-0.0059549344894718
52	0.66895	0.679783378777353	-0.0108333787773533
53	0.68756	0.669930664169522	0.0176293358304785
54	0.68527	0.693375394308498	-0.0081053943084981
55	0.6776	0.683221738824503	-0.0056217388245035
56	0.68137	0.679974810070013	0.00139518992998652
57	0.67933	0.6821043365076	-0.00277433650760055
58	0.67922	0.68183103957347	-0.00261103957347046

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
19	0.736396268403515	0.527207463192971	0.263603731596485
20	0.689496366767047	0.621007266465907	0.310503633232953
21	0.590286424555473	0.819427150889053	0.409713575444527
22	0.569252141189396	0.861495717621208	0.430747858810604
23	0.698187011106344	0.603625977787312	0.301812988893656
24	0.678057863611538	0.643884272776925	0.321942136388462
25	0.617943306370704	0.764113387258593	0.382056693629296
26	0.50634926434576	0.98730147130848	0.49365073565424
27	0.629536847226388	0.740926305547223	0.370463152773612
28	0.873124188290454	0.253751623419091	0.126875811709546
29	0.820852948479733	0.358294103040535	0.179147051520267
30	0.774182363111295	0.451635273777411	0.225817636888705
31	0.67786661140391	0.64426677719218	0.32213338859609
32	0.584939512186765	0.83012097562647	0.415060487813235
33	0.511527165741098	0.976945668517804	0.488472834258902
34	0.557429485448918	0.885141029102164	0.442570514551082
35	0.604349466257598	0.791301067484804	0.395650533742402
36	0.531236288708211	0.937527422583577	0.468763711291789
37	0.573611745989005	0.85277650802199	0.426388254010995
38	0.544185124255841	0.911629751488318	0.455814875744159
39	0.451443429602118	0.902886859204237	0.548556570397882

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