Multiple Linear Regression - Estimated Regression Equation

Tprod[t] = + 104.057458254309 -0.954366625790823Rente[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)	104.057458254309	0.308823	336.9486	0	0
Rente	-0.954366625790823	0.093353	-10.2232	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.801939374471285
R-squared	0.643106760327396
Adjusted R-squared	0.636953428608903
F-TEST (value)	104.513585444225
F-TEST (DF numerator)	1
F-TEST (DF denominator)	58
p-value	1.35447209004269e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.715892288571204
Sum Squared Residuals	29.7251025924716

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	101.2	101.194358376937	0.00564162306336613
2	101.1	100.993941385520	0.106058614479800
3	100.7	100.841242725394	-0.14124272539365
4	100.1	100.707631397783	-0.607631397782944
5	99.9	100.478583407593	-0.578583407593135
6	99.7	100.135011422308	-0.435011422308442
7	99.5	100.001400094698	-0.50140009469773
8	99.2	100.001400094698	-0.801400094697727
9	99	99.76280843825	-0.762808438250024
10	99	99.5719351130919	-0.571935113091859
11	99.3	99.5242167818023	-0.224216781802321
12	99.5	99.5242167818023	-0.0242167818023186
13	99.7	99.5242167818023	0.175783218197684
14	100	99.5242167818023	0.475783218197681
15	100.4	99.5242167818023	0.875783218197687
16	100.6	99.5242167818023	1.07578321819768
17	100.7	99.6864591081868	1.01354089181324
18	100.7	99.76280843825	0.937191561749979
19	100.6	99.76280843825	0.83719156174997
20	100.5	99.772352104508	0.727647895492068
21	100.6	100.211360752372	0.388639247628284
22	100.5	100.478583407593	0.0214165924068594
23	100.4	100.822155392878	-0.422155392877831
24	100.3	100.955766720489	-0.655766720488555
25	100.4	100.955766720489	-0.555766720488546
26	100.4	100.955766720489	-0.555766720488546
27	100.4	100.955766720489	-0.555766720488546
28	100.4	100.955766720489	-0.555766720488546
29	100.4	100.955766720489	-0.555766720488546
30	100.5	100.955766720489	-0.455766720488552
31	100.6	100.955766720489	-0.355766720488557
32	100.6	100.955766720489	-0.355766720488557
33	100.5	100.955766720489	-0.455766720488552
34	100.5	100.955766720489	-0.455766720488552
35	100.7	100.955766720489	-0.255766720488549
36	101.1	101.337513370805	-0.237513370804886
37	101.5	101.432950033384	0.0670499666160373
38	101.9	101.432950033384	0.467049966616043
39	102.1	101.623823358542	0.476176641457867
40	102.1	101.671541689832	0.428458310168326
41	102.1	101.671541689832	0.428458310168326
42	102.4	102.053288340148	0.346711659852009
43	102.8	102.148725002727	0.651274997272918
44	103.1	102.148725002727	0.951274997272915
45	103.1	102.148725002727	0.951274997272915
46	102.9	102.148725002727	0.751274997272926
47	102.4	102.148725002727	0.251274997272926
48	101.9	102.148725002727	-0.248725002727074
49	101.3	102.148725002727	-0.848725002727082
50	100.7	102.148725002727	-1.44872500272708
51	100.6	102.148725002727	-1.54872500272709
52	101	102.148725002727	-1.14872500272708
53	101.5	102.148725002727	-0.648725002727079
54	101.9	102.148725002727	-0.248725002727074
55	102.1	102.148725002727	-0.048725002727085
56	102.3	102.148725002727	0.151274997272918
57	102.5	102.148725002727	0.351274997272921
58	102.9	102.148725002727	0.751274997272926
59	103.6	102.148725002727	1.45127499727291
60	104.3	102.148725002727	2.15127499727292

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.0238414848985247	0.0476829697970493	0.976158515101475
6	0.0175742657329251	0.0351485314658503	0.982425734267075
7	0.00588102145143733	0.0117620429028747	0.994118978548563
8	0.00212059348618305	0.0042411869723661	0.997879406513817
9	0.000587320787481028	0.00117464157496206	0.999412679212519
10	0.000355771251568655	0.00071154250313731	0.999644228748431
11	0.000916860634170218	0.00183372126834044	0.99908313936583
12	0.00188229342758154	0.00376458685516307	0.998117706572418
13	0.00370584581143945	0.0074116916228789	0.99629415418856
14	0.0101284476909174	0.0202568953818349	0.989871552309083
15	0.0396372483011431	0.0792744966022861	0.960362751698857
16	0.101478894352433	0.202957788704866	0.898521105647567
17	0.158906136109628	0.317812272219257	0.841093863890372
18	0.202557896956443	0.405115793912886	0.797442103043557
19	0.229450237180475	0.45890047436095	0.770549762819525
20	0.251077598223512	0.502155196447023	0.748922401776488
21	0.236879486477723	0.473758972955446	0.763120513522277
22	0.191609557800884	0.383219115601767	0.808390442199116
23	0.143768948443547	0.287537896887095	0.856231051556453
24	0.111371536587479	0.222743073174958	0.888628463412521
25	0.0804102619006545	0.160820523801309	0.919589738099346
26	0.0564017844102695	0.112803568820539	0.94359821558973
27	0.0384875308259434	0.0769750616518868	0.961512469174057
28	0.0255948325572355	0.0511896651144709	0.974405167442765
29	0.0166304111824254	0.0332608223648507	0.983369588817575
30	0.0102533731673888	0.0205067463347776	0.989746626832611
31	0.00610286334121223	0.0122057266824245	0.993897136658788
32	0.0035329438724069	0.0070658877448138	0.996467056127593
33	0.00204770988652225	0.0040954197730445	0.997952290113478
34	0.00120545321976379	0.00241090643952759	0.998794546780236
35	0.000709218934285636	0.00141843786857127	0.999290781065714
36	0.00049634629441276	0.00099269258882552	0.999503653705587
37	0.000449264742047960	0.000898529484095919	0.999550735257952
38	0.000635528068441109	0.00127105613688222	0.999364471931559
39	0.000780352109471887	0.00156070421894377	0.999219647890528
40	0.000730067843889776	0.00146013568777955	0.99926993215611
41	0.000598886702834567	0.00119777340566913	0.999401113297165
42	0.000426411742353679	0.000852823484707357	0.999573588257646
43	0.000450595353112242	0.000901190706224483	0.999549404646888
44	0.000759443295558633	0.00151888659111727	0.999240556704441
45	0.00109893598646372	0.00219787197292743	0.998901064013536
46	0.00102634543867735	0.00205269087735470	0.998973654561323
47	0.00053025011919278	0.00106050023838556	0.999469749880807
48	0.000260090374649883	0.000520180749299765	0.99973990962535
49	0.000274141591900503	0.000548283183801007	0.9997258584081
50	0.00147642595810291	0.00295285191620582	0.998523574041897
51	0.0118934802413496	0.0237869604826992	0.98810651975865
52	0.0409522125086278	0.0819044250172556	0.959047787491372
53	0.068976932881847	0.137953865763694	0.931023067118153
54	0.0798764811657025	0.159752962331405	0.920123518834298
55	0.0897685256990436	0.179537051398087	0.910231474300956

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	25	0.490196078431373	NOK
5% type I error level	33	0.647058823529412	NOK
10% type I error level	37	0.725490196078431	NOK