Multiple Linear Regression - Estimated Regression Equation

Tprod[t] = + 9.03287437636819 + 0.0100535761591053Rente[t] + 2.06088898976321y1[t] -1.65997795678992y2[t] + 0.66397755103948y3[t] -0.156268465277844y4[t] + 0.00673278043645512t + 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)	9.03287437636819	4.691774	1.9253	0.060012	0.030006
Rente	0.0100535761591053	0.071091	0.1414	0.88812	0.44406
y1	2.06088898976321	0.14162	14.5523	0	0
y2	-1.65997795678992	0.316673	-5.2419	3e-06	2e-06
y3	0.66397755103948	0.322999	2.0557	0.045164	0.022582
y4	-0.156268465277844	0.152604	-1.024	0.310858	0.155429
t	0.00673278043645512	0.003976	1.6935	0.096715	0.048358

Multiple Linear Regression - Regression Statistics
Multiple R	0.993522928795038
R-squared	0.98708781004147
Adjusted R-squared	0.985506725556751
F-TEST (value)	624.310604260666
F-TEST (DF numerator)	6
F-TEST (DF denominator)	49
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.147201856015383
Sum Squared Residuals	1.06175093430430

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	99.9	99.5262774179268	0.373722582073162
2	99.7	99.870474288014	-0.170474288013908
3	99.5	99.4625532180054	0.0374467819945941
4	99.2	99.350069360806	-0.150069360806019
5	99	98.971502612559	0.0284973874410457
6	99	98.9645198801592	0.0354801198407734
7	99.3	99.1358113585054	0.164188641494644
8	99.5	99.6748958652462	-0.174895865246220
9	99.7	99.627066749654	0.0729332503460831
10	100	99.9131750019969	0.0868249980031247
11	100.4	100.292093858629	0.107906141371163
12	100.6	100.726730665086	-0.126730665085955
13	100.7	100.647880525068	0.052119474931733
14	100.7	100.746612807863	-0.0466128078628094
15	100.6	100.657635916717	-0.0576359167170165
16	100.5	100.493323324464	0.00667667553607671
17	100.6	100.439713510042	0.160286489957892
18	100.5	100.749320228705	-0.249320228705347
19	100.4	100.329576118493	0.0704238815069325
20	100.3	100.376834896602	-0.0768348966016582
21	100.4	100.261451972109	0.138548027890979
22	100.4	100.589500538625	-0.189500538624661
23	100.4	100.379464614806	0.0205353851940609
24	100.4	100.468221996874	-0.0682219968741338
25	100.4	100.459327930783	-0.0593279307828032
26	100.5	100.466060711219	0.0339392887807360
27	100.6	100.678882390632	-0.078882390632034
28	100.6	100.725706274366	-0.125706274365815
29	100.5	100.632839014227	-0.132839014227226
30	100.5	100.484253804264	0.0157461957364671
31	100.7	100.641357533851	0.0586424661488154
32	101.1	100.989848926673	0.110151073327290
33	101.5	101.503563200568	-0.00356320056830893
34	101.9	101.803455904402	0.0965440955980037
35	102.1	102.202879710156	-0.102879710156175
36	102.1	102.160380061326	-0.0603800613259744
37	102.1	102.038200884709	0.0617991152908789
38	102.4	102.111200358779	0.288799641221327
39	102.8	102.703940785473	0.0960592145273543
40	103.1	103.037035774777	0.0629642252226264
41	103.1	103.197237334739	-0.0972373347386817
42	102.9	102.924687208971	-0.0246872089705846
43	102.4	102.655928070655	-0.255928070655128
44	101.9	101.917331407985	-0.0173314079845912
45	101.3	101.590813161727	-0.290813161726524
46	100.7	100.890266444236	-0.190266444235819
47	100.6	100.402598062008	0.197401937992481
48	101	100.878976419557	0.121023580443197
49	101.5	101.571437140121	-0.0714371401205832
50	101.9	101.971986556785	-0.0719865567854098
51	102.1	102.254303821676	-0.154303821675791
52	102.3	102.278704606757	0.0212953932425151
53	102.5	102.553076381565	-0.0530763815654929
54	102.9	102.710279492693	0.189720507306649
55	103.6	103.310914094829	0.289085905170546
56	104.3	104.197819802536	0.102180197463521

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.271181533643645	0.542363067287290	0.728818466356355
11	0.617484323797822	0.765031352404357	0.382515676202178
12	0.748682317858286	0.502635364283427	0.251317682141714
13	0.714446407998396	0.571107184003208	0.285553592001604
14	0.63128678058339	0.73742643883322	0.36871321941661
15	0.518963628551646	0.962072742896709	0.481036371448354
16	0.429113147700908	0.858226295401816	0.570886852299092
17	0.433309302455932	0.866618604911864	0.566690697544068
18	0.52274649930562	0.95450700138876	0.47725350069438
19	0.456213793848702	0.912427587697403	0.543786206151298
20	0.382904594504487	0.765809189008973	0.617095405495513
21	0.421654931882504	0.843309863765008	0.578345068117496
22	0.403051616033867	0.806103232067733	0.596948383966133
23	0.340062673122351	0.680125346244703	0.659937326877649
24	0.272373771339463	0.544747542678925	0.727626228660537
25	0.204473000046142	0.408946000092284	0.795526999953858
26	0.159790512233035	0.31958102446607	0.840209487766965
27	0.118118936985378	0.236237873970756	0.881881063014622
28	0.0919210414102472	0.183842082820494	0.908078958589753
29	0.0886529171193103	0.177305834238621	0.91134708288069
30	0.0580341433475005	0.116068286695001	0.9419658566525
31	0.0533490258322642	0.106698051664528	0.946650974167736
32	0.090549438920489	0.181098877840978	0.909450561079511
33	0.0810178521635331	0.162035704327066	0.918982147836467
34	0.0727419075884224	0.145483815176845	0.927258092411578
35	0.0613366679856953	0.122673335971391	0.938663332014305
36	0.0448228584033816	0.089645716806763	0.955177141596618
37	0.0787022207466955	0.157404441493391	0.921297779253305
38	0.107111728595488	0.214223457190975	0.892888271404512
39	0.101966213059102	0.203932426118205	0.898033786940898
40	0.103420104704999	0.206840209409998	0.896579895295001
41	0.0897536164216421	0.179507232843284	0.910246383578358
42	0.185823457638471	0.371646915276942	0.814176542361529
43	0.188133462461684	0.376266924923368	0.811866537538316
44	0.653024817680585	0.693950364638830	0.346975182319415
45	0.673893861864632	0.652212276270736	0.326106138135368
46	0.620291329403054	0.759417341193892	0.379708670596946

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	1	0.0270270270270270	OK