Multiple Linear Regression - Estimated Regression Equation

Y[t] = -14.1035350383858 + 3.01913453757866X[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)	-14.1035350383858	3.263874	-4.3211	5e-05	2.5e-05
X	3.01913453757866	0.408932	7.383	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.661656111589322
R-squared	0.437788810003502
Adjusted R-squared	0.429757221574981
F-TEST (value)	54.5083720237515
F-TEST (DF numerator)	1
F-TEST (DF denominator)	70
p-value	2.49030684962293e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.40192550633485
Sum Squared Residuals	403.847229658734

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	11	10.9552816235170	0.0447183764829767
2	8	10.6533681697591	-2.65336816975913
3	6	10.0495412622434	-4.04954126224341
4	10	9.74762780848554	0.252372191514458
5	11	8.84188744721194	2.15811255278806
6	10	8.84188744721194	1.15811255278806
7	9	10.955281623517	-1.95528162351700
8	8	11.2571950772749	-3.25719507727487
9	11	11.2571950772749	-0.257195077274869
10	10	11.2571950772749	-1.25719507727487
11	12	11.2571950772749	0.74280492272513
12	13	11.8610219847906	1.13897801520940
13	13	12.7667623460642	0.233237653935804
14	13	12.4648488923063	0.535151107693668
15	13	10.955281623517	2.04471837648299
16	13	8.53997399345408	4.46002600654592
17	12	7.63423363218048	4.36576636781952
18	13	8.23806053969622	4.76193946030378
19	12	12.4648488923063	-0.464848892306332
20	13	13.9744161610957	-0.974416161095659
21	12	13.9744161610957	-1.97441616109566
22	14	12.1629354385485	1.83706456145154
23	11	10.6533681697591	0.346631830240865
24	12	10.955281623517	1.04471837648300
25	13	11.5591085310327	1.44089146896727
26	13	11.8610219847906	1.13897801520940
27	12	11.5591085310327	0.440891468967266
28	10	10.6533681697591	-0.653368169759135
29	9	10.3514547160013	-1.35145471600127
30	10	9.74762780848554	0.252372191514458
31	10	11.8610219847906	-1.86102198479060
32	9	12.1629354385485	-3.16293543854846
33	7	12.1629354385485	-5.16293543854846
34	11	11.5591085310327	-0.559108531032734
35	11	11.2571950772749	-0.257195077274869
36	12	11.5591085310327	0.440891468967266
37	13	12.1629354385485	0.837064561451538
38	13	12.1629354385485	0.837064561451538
39	12	11.8610219847906	0.138978015209402
40	12	11.5591085310327	0.440891468967266
41	10	10.955281623517	-0.955281623517005
42	12	10.0495412622434	1.95045873775659
43	12	10.6533681697591	1.34663183024086
44	12	10.3514547160013	1.64854528399873
45	10	10.3514547160013	-0.351454716001271
46	13	10.0495412622434	2.95045873775659
47	13	9.74762780848554	3.25237219151446
48	11	9.74762780848554	1.25237219151446
49	13	10.0495412622434	2.95045873775659
50	12	10.0495412622434	1.95045873775659
51	11	9.74762780848554	1.25237219151446
52	12	10.0495412622434	1.95045873775659
53	12	9.14380090096981	2.85619909903019
54	11	7.63423363218048	3.36576636781952
55	10	8.53997399345408	1.46002600654592
56	9	7.93614708593835	1.06385291406165
57	10	7.03040672466475	2.96959327533525
58	9	7.03040672466475	1.96959327533525
59	6	7.03040672466475	-1.03040672466475
60	7	7.63423363218048	-0.634233632180484
61	5	7.93614708593835	-2.93614708593835
62	8	7.33232017842262	0.667679821577383
63	5	6.42657981714902	-1.42657981714902
64	5	5.21892600211756	-0.218926002117562
65	5	4.31318564084396	0.686814359156037
66	1	5.52083945587543	-4.52083945587543
67	3	9.14380090096981	-6.14380090096981
68	5	9.74762780848554	-4.74762780848554
69	7	8.53997399345408	-1.53997399345408
70	2	6.72849327090689	-4.72849327090689
71	3	5.82275290963329	-2.82275290963329
72	2	6.72849327090689	-4.72849327090689

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.61789313795859	0.764213724082821	0.382106862041410
6	0.450570539210524	0.901141078421048	0.549429460789476
7	0.310967187487238	0.621934374974477	0.689032812512762
8	0.215235882245318	0.430471764490637	0.784764117754682
9	0.221019534933623	0.442039069867245	0.778980465066377
10	0.153897824244827	0.307795648489654	0.846102175755173
11	0.178055047254458	0.356110094508917	0.821944952745542
12	0.221735708718971	0.443471417437942	0.778264291281029
13	0.18717283393969	0.37434566787938	0.81282716606031
14	0.147813373899723	0.295626747799446	0.852186626100277
15	0.157698468801577	0.315396937603153	0.842301531198423
16	0.288837349004974	0.577674698009949	0.711162650995026
17	0.320140497225507	0.640280994451014	0.679859502774493
18	0.385966057401436	0.771932114802872	0.614033942598564
19	0.320763465299878	0.641526930599755	0.679236534700122
20	0.279995886158283	0.559991772316565	0.720004113841717
21	0.234909266929152	0.469818533858304	0.765090733070848
22	0.240279255242336	0.480558510484672	0.759720744757664
23	0.184539996359595	0.36907999271919	0.815460003640405
24	0.143403529286958	0.286807058573917	0.856596470713042
25	0.121054542101003	0.242109084202006	0.878945457898997
26	0.0980262826131491	0.196052565226298	0.90197371738685
27	0.0704226849202957	0.140845369840591	0.929577315079704
28	0.0540327346616327	0.108065469323265	0.945967265338367
29	0.0496792088185215	0.099358417637043	0.950320791181478
30	0.0352729512731498	0.0705459025462995	0.96472704872685
31	0.0299327900445599	0.0598655800891197	0.97006720995544
32	0.0398498506050720	0.0796997012101439	0.960150149394928
33	0.150255138354333	0.300510276708666	0.849744861645667
34	0.119053890410717	0.238107780821435	0.880946109589283
35	0.0908751948529564	0.181750389705913	0.909124805147044
36	0.0686019371947821	0.137203874389564	0.931398062805218
37	0.0557476171420214	0.111495234284043	0.944252382857979
38	0.0444122093043038	0.0888244186086076	0.955587790695696
39	0.0328186560765056	0.0656373121530113	0.967181343923494
40	0.0234107258641535	0.0468214517283069	0.976589274135847
41	0.0198034604149054	0.0396069208298108	0.980196539585095
42	0.0142292437640672	0.0284584875281344	0.985770756235933
43	0.00947057448017115	0.0189411489603423	0.990529425519829
44	0.00627670254612176	0.0125534050922435	0.993723297453878
45	0.00440451492728646	0.00880902985457292	0.995595485072714
46	0.00403797143288951	0.00807594286577902	0.99596202856711
47	0.00425131436105576	0.00850262872211151	0.995748685638944
48	0.00257526681604992	0.00515053363209983	0.99742473318395
49	0.0026183758182234	0.0052367516364468	0.997381624181777
50	0.00192057264542117	0.00384114529084234	0.998079427354579
51	0.00124395370089391	0.00248790740178783	0.998756046299106
52	0.00110398865092869	0.00220797730185738	0.998896011349071
53	0.00195155044883513	0.00390310089767027	0.998048449551165
54	0.0050514714540065	0.010102942908013	0.994948528545994
55	0.00769990974398844	0.0153998194879769	0.992300090256012
56	0.0115362550862788	0.0230725101725576	0.988463744913721
57	0.0448057751148655	0.089611550229731	0.955194224885134
58	0.124852669261030	0.249705338522059	0.87514733073897
59	0.149011580503970	0.298023161007939	0.85098841949603
60	0.187854296312689	0.375708592625378	0.812145703687311
61	0.195763070286652	0.391526140573303	0.804236929713348
62	0.387662612885085	0.77532522577017	0.612337387114915
63	0.369437666880671	0.738875333761342	0.630562333119329
64	0.370461875869145	0.740923751738291	0.629538124130855
65	0.607095074410661	0.785809851178679	0.392904925589339
66	0.557847988814895	0.88430402237021	0.442152011185105
67	0.617965525152922	0.764068949694155	0.382034474847078

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	9	0.142857142857143	NOK
5% type I error level	17	0.26984126984127	NOK
10% type I error level	24	0.380952380952381	NOK