Multiple Linear Regression - Estimated Regression Equation

Mortality[t] = -10.8466082959961 + 0.418536397035318Marriages[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)	-10.8466082959961	1.424473	-7.6145	0	0
Marriages	0.418536397035318	0.020391	20.5251	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.951542739573772
R-squared	0.905433585235559
Adjusted R-squared	0.903284348536367
F-TEST (value)	421.281464985229
F-TEST (DF numerator)	1
F-TEST (DF denominator)	44
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.664157814332693
Sum Squared Residuals	19.4086465029239

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	22	21.8410843124622	0.158915687537823
2	21.8	20.334353283135	1.46564671686495
3	21.5	20.3762069228386	1.12379307716142
4	21.3	20.7528896801704	0.547110319829634
5	21.1	21.3388406360198	-0.238840636019812
6	21.2	21.0877187977986	0.11228120220138
7	21	20.0413778052103	0.958622194789674
8	20.8	19.8739632463962	0.926036753603799
9	20.5	20.878450599281	-0.378450599280961
10	20.4	21.3388406360198	-0.938840636019816
11	20.1	19.7902559669891	0.309744033010864
12	19.9	19.3298659302503	0.570134069749714
13	19.6	20.250646003728	-0.650646003727983
14	19.4	19.7484023272856	-0.348402327285604
15	19.2	19.3717195699538	-0.171719569953821
16	19.1	18.1998176582549	0.900182341745069
17	19.1	18.7857686141044	0.314231385895628
18	18.9	18.911329533215	-0.0113295332149686
19	18.7	18.9531831729185	-0.253183172918503
20	18.7	18.7020613346973	-0.00206133469730908
21	18.7	18.911329533215	-0.211329533214968
22	18.4	18.5765004155867	-0.176500415586716
23	18.4	17.7394276215161	0.66057237848392
24	18.3	17.9905494597373	0.309450540262728
25	18.4	19.2461586508432	-0.846158650843228
26	18.3	19.8321096066927	-1.53210960669267
27	18.3	18.8276222538079	-0.527622253807908
28	18	18.4509394964761	-0.45093949647612
29	17.7	16.5675257098172	1.13247429018281
30	17.7	18.4927931361796	-0.79279313617965
31	17.9	17.027915746556	0.872084253443961
32	17.6	17.3627448641843	0.237255135815705
33	17.7	17.5301594229984	0.169840577001579
34	17.4	18.1998176582549	-0.799817658254934
35	17.1	18.1998176582549	-1.09981765825493
36	16.8	17.0697693862596	-0.269769386259573
37	16.5	16.3582575112995	0.141742488700468
38	16.2	15.5630383569324	0.636961643067571
39	15.8	16.3582575112995	-0.558257511299531
40	15.5	15.8978674745607	-0.397867474560682
41	15.2	15.5211847172289	-0.321184717228897
42	14.9	15.1863555996006	-0.286355599600644
43	14.6	14.8515264819724	-0.251526481972389
44	14.4	14.6841119231583	-0.284111923158262
45	14.5	13.7633318496806	0.736668150319438
46	14.2	14.6841119231583	-0.484111923158263

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.28078120692372	0.56156241384744	0.71921879307628
6	0.190501437961849	0.381002875923698	0.809498562038151
7	0.156457122087337	0.312914244174674	0.843542877912663
8	0.14430833554224	0.28861667108448	0.85569166445776
9	0.28737805236398	0.574756104727961	0.71262194763602
10	0.44422301101726	0.88844602203452	0.55577698898274
11	0.526910387979016	0.946179224041967	0.473089612020984
12	0.560216369690387	0.879567260619225	0.439783630309613
13	0.715323839115828	0.569352321768343	0.284676160884172
14	0.756723481349917	0.486553037300166	0.243276518650083
15	0.747754057218415	0.50449188556317	0.252245942781585
16	0.763586479881827	0.472827040236347	0.236413520118173
17	0.736796188053639	0.526407623892723	0.263203811946361
18	0.707869744854902	0.584260510290196	0.292130255145098
19	0.686325703474448	0.627348593051103	0.313674296525552
20	0.639686195733207	0.720627608533587	0.360313804266793
21	0.594533460673779	0.810933078652441	0.405466539326221
22	0.540319699413905	0.91936060117219	0.459680300586095
23	0.578623353336809	0.842753293326382	0.421376646663191
24	0.5630646888191	0.8738706223618	0.4369353111809
25	0.596505264799532	0.806989470400937	0.403494735200468
26	0.799379554180933	0.401240891638135	0.200620445819067
27	0.756559702359297	0.486880595281406	0.243440297640703
28	0.69972741885788	0.60054516228424	0.30027258114212
29	0.861831222046099	0.276337555907801	0.138168777953901
30	0.851636165880308	0.296727668239385	0.148363834119692
31	0.940577821171609	0.118844357656781	0.0594221788283905
32	0.9454979773104	0.1090040453792	0.0545020226896
33	0.96210128416235	0.0757974316752993	0.0378987158376496
34	0.94479255988329	0.110414880233421	0.0552074401167103
35	0.94323798978526	0.113524020429481	0.0567620102147403
36	0.903582670770372	0.192834658459256	0.0964173292296278
37	0.890932530211731	0.218134939576537	0.109067469788269
38	0.983909318560374	0.0321813628792523	0.0160906814396261
39	0.966871993973816	0.0662560120523688	0.0331280060261844
40	0.944356857865867	0.111286284268266	0.0556431421341329
41	0.923801324244532	0.152397351510936	0.0761986757554678

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	0.027027027027027	OK
10% type I error level	3	0.0810810810810811	OK