Multiple Linear Regression - Estimated Regression Equation

MRwaarden[t] = + 2.28501359325181 + 0.313873850138784Q1[t] + 0.0188733208062332Q2[t] + 0.109656709127721Q4[t] + 0.218824824968047Q5[t] + 0.123806124892429Q6[t] + 0.0873787115799807Q8[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)	2.28501359325181	0.129518	17.6425	0	0
Q1	0.313873850138784	0.201629	1.5567	0.124985	0.062492
Q2	0.0188733208062332	0.123442	0.1529	0.879014	0.439507
Q4	0.109656709127721	0.119545	0.9173	0.362791	0.181395
Q5	0.218824824968047	0.128115	1.708	0.092979	0.046489
Q6	0.123806124892429	0.121293	1.0207	0.311628	0.155814
Q8	0.0873787115799807	0.137928	0.6335	0.528891	0.264446

Multiple Linear Regression - Regression Statistics
Multiple R	0.401026895814176
R-squared	0.160822571166354
Adjusted R-squared	0.0740111130111494
F-TEST (value)	1.85255005023449
F-TEST (DF numerator)	6
F-TEST (DF denominator)	58
p-value	0.104718417064221
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.470842333114655
Sum Squared Residuals	12.8581651538654

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	2.47459765056973	2.40881971814424	0.0657779324254926
2	2.66937384986383	2.39467030237953	0.274703547484302
3	2.53219643698047	2.28501359325181	0.247182843728664
4	2.12729820000485	2.50383841821985	-0.376540218215004
5	2.49251225238716	2.28501359325181	0.207498659135354
6	3.54814625114322	2.50383841821985	1.04430783292337
7	2.56234294012695	2.30388691405804	0.258456026068911
8	2.27428876391807	2.30388691405804	-0.0295981501399696
9	2.47245764777235	2.39467030237953	0.0777873453928221
10	2.48672916316057	2.39467030237953	0.0920588607810421
11	3.07929215115082	2.64651786391852	0.432774287232304
12	2.78351754277407	2.62764454311228	0.155872999661787
13	2.98779119898482	2.40881971814424	0.578971480840585
14	1.97583182197991	2.50383841821985	-0.528006596239944
15	2.04336369546406	2.50383841821985	-0.460474722755794
16	2.29549651734384	2.73730125224	-0.441804734896164
17	2.83196954892865	2.63236844815381	0.199601100774842
18	2.47444975443644	2.28501359325181	0.189436161184634
19	2.78303885834621	2.42769303895047	0.355345819395742
20	2.74593257619412	2.71502325469226	0.0309093215018567
21	3.49836316440056	2.52271173902609	0.975651425374473
22	2.52313082494381	2.28501359325181	0.238117231692003
23	3.14895258191772	2.75617457304624	0.392778008871483
24	2.570188365904	2.63236844815381	-0.0621800822498085
25	2.44069333473533	2.50092233476574	-0.0602290000304115
26	1.64387593543423	2.48204901395951	-0.838173078525279
27	2.2289150206697	2.28501359325181	-0.0560985725821064
28	3.14718152275621	2.73730125224	0.409880270516206
29	2.15748492482097	2.52271173902609	-0.365226814205117
30	1.79231165942448	2.48204901395951	-0.689737354535029
31	3.19772063333487	2.61009045060607	0.587630182728803
32	2.52565799267401	2.64651786391852	-0.120859871244506
33	2.41461356555004	2.70087383892756	-0.286260273377516
34	1.78415174126421	2.62764454311228	-0.843492801848073
35	2.59655877649185	2.75617457304624	-0.159615796554387
36	4.21893310088215	2.82467996381998	1.39425313706217
37	3.04678344720808	2.75617457304624	0.290608874161843
38	2.04219904256902	2.52271173902609	-0.480512696457067
39	2.3680261127467	2.64651786391852	-0.278491751171816
40	2.9323277730828	2.810072279863	0.1222554932198
41	2.94785032211007	2.83235027741074	0.11550004469933
42	2.68895063979876	2.71974715973379	-0.0307965199350291
43	1.62637287532278	2.73730125224	-1.11092837691722
44	1.94236306568157	2.42769303895047	-0.485329973268898
45	2.50222477331493	2.75617457304624	-0.253949799731307
46	2.94707375793069	3.05117510237879	-0.104101344448098
47	3.38756471145924	2.73730125224	0.650263459219236
48	3.14215136952233	2.62472845965817	0.51742290986416
49	3.09225556163995	2.75617457304624	0.336080988593713
50	2.92094923642281	3.03362100987257	-0.112671773449763
51	2.52870017990513	2.64651786391852	-0.117817684013386
52	1.72535841198671	2.42769303895047	-0.702334626963758
53	2.48068372782042	2.7338965754985	-0.253212847678076
54	2.47123175902455	2.51507175053045	-0.0438399915058992
55	2.56063010837393	2.7338965754985	-0.173266467124566
56	2.1021761397167	2.53734974807819	-0.43517360836149
57	2.93445335819747	2.75617457304624	0.178278785151233
58	2.86973855770263	3.02889710483105	-0.159158547128417
59	2.80048153642513	2.75617457304624	0.0443069633788929
60	2.93867731833148	2.84355328462622	0.0951240337052622
61	2.36861024734756	2.52271173902609	-0.154101491678527
62	2.51157333830042	2.75617457304624	-0.244601234745817
63	2.5724112632415	2.92396430074485	-0.351553037503351
64	3.41369346535535	2.92396430074485	0.489729164610499
65	2.60512793272701	2.84355328462622	-0.238425351899208

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.788249796764498	0.423500406471004	0.211750203235502
11	0.6746604169589	0.6506791660822	0.3253395830411
12	0.548698428011042	0.902603143977917	0.451301571988958
13	0.522430171668638	0.955139656662725	0.477569828331362
14	0.616575427004869	0.766849145990261	0.383424572995131
15	0.590743952548233	0.818512094903533	0.409256047451767
16	0.577984941616706	0.844030116766589	0.422015058383294
17	0.503257366309141	0.993485267381718	0.496742633690859
18	0.417846273810163	0.835692547620327	0.582153726189837
19	0.352473334281108	0.704946668562217	0.647526665718892
20	0.267589047524196	0.535178095048392	0.732410952475804
21	0.487835790616632	0.975671581233263	0.512164209383368
22	0.466351201406536	0.932702402813073	0.533648798593464
23	0.406475357854065	0.81295071570813	0.593524642145935
24	0.344491000725337	0.688982001450673	0.655508999274663
25	0.278441053846546	0.556882107693093	0.721558946153454
26	0.326028779145047	0.652057558290093	0.673971220854954
27	0.297631970898224	0.595263941796448	0.702368029101776
28	0.299199679198864	0.598399358397728	0.700800320801136
29	0.316519433520558	0.633038867041115	0.683480566479443
30	0.311672791970174	0.623345583940348	0.688327208029826
31	0.437430019661733	0.874860039323466	0.562569980338267
32	0.433029885679578	0.866059771359157	0.566970114320422
33	0.400964286045366	0.801928572090732	0.599035713954634
34	0.57019363096477	0.85961273807046	0.42980636903523
35	0.506478403907798	0.987043192184404	0.493521596092202
36	0.931684458217888	0.136631083564224	0.0683155417821119
37	0.916317235460694	0.167365529078611	0.0836827645393056
38	0.899860834102623	0.200278331794754	0.100139165897377
39	0.872949300439363	0.254101399121275	0.127050699560637
40	0.832023303918995	0.33595339216201	0.167976696081005
41	0.787700985937278	0.424598028125444	0.212299014062722
42	0.723249505518807	0.553500988962386	0.276750494481193
43	0.977622089449551	0.0447558211008981	0.022377910550449
44	0.968817062042198	0.0623658759156037	0.0311829379578019
45	0.952977197457231	0.0940456050855388	0.0470228025427694
46	0.926746899353474	0.146506201293051	0.0732531006465256
47	0.922360215461669	0.155279569076662	0.0776397845383312
48	0.961348639183923	0.0773027216321532	0.0386513608160766
49	0.960466478960957	0.0790670420780851	0.0395335210390425
50	0.937946401867201	0.124107196265599	0.0620535981327993
51	0.894454386966677	0.211091226066646	0.105545613033323
52	0.876014142257668	0.247971715484665	0.123985857742332
53	0.806269697174177	0.387460605651645	0.193730302825823
54	0.741886024232392	0.516227951535216	0.258113975767608
55	0.576346126753609	0.847307746492783	0.423653873246391

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	0.0217391304347826	OK
10% type I error level	5	0.108695652173913	NOK