Multiple Linear Regression - Estimated Regression Equation

Constant[t] = -0.731267597549556 + 0.0146779012617584Mortality[t] + 0.974896174406623Marriages[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)	-0.731267597549556	0.485997	-1.5047	0.139891	0.069946
Mortality	0.0146779012617584	0.014949	0.9818	0.331798	0.165899
Marriages	0.974896174406623	0.034292	28.4294	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.997495961281934
R-squared	0.99499819277377
Adjusted R-squared	0.994760011477283
F-TEST (value)	4177.48247846739
F-TEST (DF numerator)	2
F-TEST (DF denominator)	42
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.15097980924285
Sum Squared Residuals	0.957385917558312

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	21.8	21.8099518833972	-0.00995188339717043
2	21.5	21.616440438642	-0.116440438642015
3	21.3	21.3371816974556	-0.0371816974556087
4	21.1	21.1627515243407	-0.0627515243407455
5	21.2	20.9589655487024	0.241034451297631
6	21	21.0197604129886	-0.0197604129886322
7	20.8	20.8189100176026	-0.0189100176026043
8	20.5	20.6591577457495	-0.159157745749501
9	20.4	20.3828345848154	0.0171654151845516
10	20.1	20.2310367327063	-0.131036732706276
11	19.9	19.9224221889964	-0.0224221889963603
12	19.6	19.7597343368909	-0.159734336890898
13	19.4	19.4496520030548	-0.0496520030548071
14	19.2	19.2414626570379	-0.0414626570378964
15	19.1	19.0053852986236	0.0946147013763532
16	19.1	18.9284447429494	0.171555257050552
17	18.9	18.932848113328	-0.0328481133279784
18	18.7	18.7393366685728	-0.0393366685728262
19	18.7	18.5355506929344	0.164449307065553
20	18.7	18.5428896435653	0.157110356434674
21	18.4	18.5311473225559	-0.13114732255592
22	18.4	18.2093226677104	0.190677332289584
23	18.3	18.2181294084675	0.0818705915325312
24	18.4	18.1646734948121	0.235326505187914
25	18.3	18.2827121740192	0.0172878259807946
26	18.3	18.1499955935503	0.150004406449675
27	18	18.1367854824147	-0.136785482414743
28	17.7	17.7782660744148	-0.0782660744148438
29	17.7	17.5533155678969	0.146684432103056
30	17.9	17.5019429134808	0.398057086519209
31	17.6	17.7086644693715	-0.108664469371519
32	17.7	17.4220667775542	0.27793322244576
33	17.4	17.5430410370137	-0.143041037013714
34	17.1	17.2505721846917	-0.150572184691724
35	16.8	16.918472998963	-0.118472998962992
36	16.5	16.601051714496	-0.101051714496016
37	16.2	16.2806948497767	-0.0806948497766884
38	15.8	16.016114009852	-0.21611400985204
39	15.5	15.6100098487015	-0.110009848701459
40	15.2	15.3043308852439	-0.104330885243889
41	14.9	15.0001197119125	-0.100119711912494
42	14.6	14.6959085385811	-0.0959085385811016
43	14.4	14.3975685257544	0.00243147424559064
44	14.5	14.1702979080972	0.329702091902783
45	14.2	14.3000789083137	-0.100078908313748

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.464838944107915	0.929677888215831	0.535161055892085
7	0.306361139733481	0.612722279466961	0.693638860266519
8	0.423331815899926	0.846663631799851	0.576668184100074
9	0.290571239316465	0.581142478632929	0.709428760683535
10	0.217398077446144	0.434796154892289	0.782601922553856
11	0.154597981315326	0.309195962630652	0.845402018684674
12	0.139706715692844	0.279413431385688	0.860293284307156
13	0.0923264675198984	0.184652935039797	0.907673532480102
14	0.0603329224087344	0.120665844817469	0.939667077591266
15	0.0665149996718006	0.133029999343601	0.933485000328199
16	0.0802311165489425	0.160462233097885	0.919768883451057
17	0.0533837370387009	0.106767474077402	0.946616262961299
18	0.0346355178645365	0.069271035729073	0.965364482135464
19	0.0340260705240913	0.0680521410481826	0.965973929475909
20	0.028583694298129	0.057167388596258	0.971416305701871
21	0.0383188570911367	0.0766377141822735	0.961681142908863
22	0.0347741254064561	0.0695482508129123	0.965225874593544
23	0.0204999988011278	0.0409999976022555	0.979500001198872
24	0.0322694840891793	0.0645389681783586	0.967730515910821
25	0.0205308574617687	0.0410617149235373	0.979469142538231
26	0.0183998580671634	0.0367997161343267	0.981600141932837
27	0.0245801374015616	0.0491602748031231	0.975419862598438
28	0.0291225756275543	0.0582451512551087	0.970877424372446
29	0.0450140330608413	0.0900280661216827	0.954985966939159
30	0.25544369400944	0.51088738801888	0.74455630599056
31	0.254126341702451	0.508252683404901	0.745873658297549
32	0.761216253614327	0.477567492771346	0.238783746385673
33	0.773059124680056	0.453881750639889	0.226940875319944
34	0.907902399299748	0.184195201400503	0.0920976007002515
35	0.948319642391301	0.103360715217398	0.0516803576086989
36	0.927754194053949	0.144491611892102	0.0722458059460509
37	0.982866912292847	0.0342661754143062	0.0171330877071531
38	0.956568670730847	0.0868626585383065	0.0434313292691532
39	0.93529256030908	0.129414879381839	0.0647074396909195

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	5	0.147058823529412	NOK
10% type I error level	14	0.411764705882353	NOK