Multiple Linear Regression - Estimated Regression Equation

vmtot[t] = -496.182843436178 + 5.99546433915312ktot[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)	-496.182843436178	44.176154	-11.2319	0	0
ktot	5.99546433915312	0.436159	13.7461	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.902562117697146
R-squared	0.814618376301957
Adjusted R-squared	0.81030717575084
F-TEST (value)	188.953950678737
F-TEST (DF numerator)	1
F-TEST (DF denominator)	43
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.26710358170506
Sum Squared Residuals	221.009621957737

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	102.1	105.462002997838	-3.36200299783781
2	102.86	105.462002997838	-2.60200299783777
3	102.99	105.521957641229	-2.53195764122933
4	103.73	105.701821571404	-1.97182157140392
5	105.02	105.402048354446	-0.382048354446288
6	104.43	105.402048354446	-0.972048354446277
7	104.63	105.462002997838	-0.832002997837764
8	104.93	105.94164014497	-1.01164014497008
9	105.87	106.181458718536	-0.311458718536158
10	105.66	107.380551586367	-1.72055158636681
11	106.76	107.860188733499	-1.10018873349904
12	106	108.040052663674	-2.04005266367364
13	107.22	108.100007307065	-0.880007307065206
14	107.33	107.380551586367	-0.0505515863668045
15	107.11	107.200687656192	-0.0906876561922033
16	108.86	107.200687656192	1.65931234380780
17	107.72	107.920143376891	-0.200143376890605
18	107.88	108.100007307065	-0.220007307065209
19	108.38	108.100007307065	0.279992692934791
20	107.72	108.759508384372	-1.03950838437205
21	108.41	109.239145531504	-0.829145531504287
22	109.9	110.018555895594	-0.118555895594157
23	111.45	110.438238399335	1.01176160066508
24	112.18	110.678056972901	1.50194302709900
25	113.34	110.738011616293	2.60198838370744
26	113.46	109.898646608811	3.56135339118887
27	114.06	110.917875546467	3.14212445353284
28	115.54	111.037784833250	4.50221516674980
29	116.39	111.937104484123	4.4528955158768
30	115.94	112.536650918038	3.40334908196151
31	116.97	112.59660556143	4.37339443856995
32	115.94	112.59660556143	3.34339443856995
33	115.91	114.095471646218	1.81452835378167
34	116.43	116.433702738488	-0.00370273848803870
35	116.26	117.572840962927	-1.31284096292712
36	116.35	118.112432753451	-1.76243275345085
37	117.9	118.112432753451	-0.212432753450835
38	117.7	115.534383087615	2.16561691238496
39	117.53	116.913339885620	0.616660114379716
40	117.86	117.333022389361	0.526977610639037
41	117.65	117.992523466668	-0.342523466667796
42	116.51	118.352251327017	-1.84225132701700
43	115.93	118.4721606138	-2.54216061380003
44	115.31	119.311525621281	-4.00152562128148
45	115	119.671253481631	-4.67125348163068

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.199318731174257	0.398637462348514	0.800681268825743
6	0.115594108625576	0.231188217251151	0.884405891374424
7	0.0711624811938339	0.142324962387668	0.928837518806166
8	0.0499467947874306	0.0998935895748613	0.95005320521257
9	0.0267414075930445	0.053482815186089	0.973258592406955
10	0.0206638474407009	0.0413276948814017	0.9793361525593
11	0.0102097537869319	0.0204195075738639	0.989790246213068
12	0.00731274270178372	0.0146254854035674	0.992687257298216
13	0.00417724989858655	0.0083544997971731	0.995822750101413
14	0.0038500545057596	0.0077001090115192	0.99614994549424
15	0.00328722765723289	0.00657445531446578	0.996712772342767
16	0.0125191584746119	0.0250383169492237	0.987480841525388
17	0.0087991619383147	0.0175983238766294	0.991200838061685
18	0.0067539162323872	0.0135078324647744	0.993246083767613
19	0.00584142913955876	0.0116828582791175	0.994158570860441
20	0.0122229605037382	0.0244459210074765	0.987777039496262
21	0.0358531145783887	0.0717062291567773	0.964146885421611
22	0.0892025868043295	0.178405173608659	0.91079741319567
23	0.162878562976181	0.325757125952361	0.83712143702382
24	0.290001015500195	0.580002031000391	0.709998984499805
25	0.434782250716365	0.86956450143273	0.565217749283635
26	0.739200690026864	0.521598619946272	0.260799309973136
27	0.863969652510037	0.272060694979927	0.136030347489963
28	0.903462723010548	0.193074553978904	0.0965372769894518
29	0.876752864372235	0.246494271255530	0.123247135627765
30	0.844564547321678	0.310870905356645	0.155435452678323
31	0.782664020182012	0.434671959635976	0.217335979817988
32	0.782243288470826	0.435513423058348	0.217756711529174
33	0.950648084171479	0.0987038316570417	0.0493519158285208
34	0.990023739451591	0.0199525210968171	0.00997626054840856
35	0.994927625727366	0.0101447485452688	0.00507237427263441
36	0.993093685767608	0.0138126284647847	0.00690631423239236
37	0.99529047881287	0.00941904237425978	0.00470952118712989
38	0.997671544822111	0.00465691035577722	0.00232845517788861
39	0.996765229827214	0.00646954034557163	0.00323477017278581
40	0.983666524263167	0.0326669514736662	0.0163334757368331

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	6	0.166666666666667	NOK
5% type I error level	18	0.5	NOK
10% type I error level	22	0.611111111111111	NOK