Multiple Linear Regression - Estimated Regression Equation

ktot[t] = + 86.1933134730192 + 0.135872441268998vmtot[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)	86.1933134730192	1.09882	78.4417	0	0
vmtot	0.135872441268998	0.009884	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)	188.953950678736
F-TEST (DF numerator)	1
F-TEST (DF denominator)	43
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.341291632139295
Sum Squared Residuals	5.00863906123707

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	100.35	100.065889726584	0.284110273416090
2	100.35	100.169152781948	0.180847218051646
3	100.36	100.186816199313	0.173183800686682
4	100.39	100.287361805852	0.102638194147623
5	100.34	100.462637255089	-0.122637255089381
6	100.34	100.382472514741	-0.0424725147406731
7	100.35	100.409647002994	-0.0596470029944803
8	100.43	100.450408735375	-0.0204087353751689
9	100.47	100.578128830168	-0.108128830168035
10	100.67	100.549595617502	0.120404382498459
11	100.75	100.699055302897	0.0509446971025573
12	100.78	100.595792247533	0.184207752466998
13	100.79	100.761556625881	0.0284433741188252
14	100.67	100.776502594421	-0.106502594420769
15	100.64	100.746610657342	-0.106610657341591
16	100.64	100.984387429562	-0.344387429562338
17	100.76	100.829492846516	-0.0694928465156753
18	100.79	100.851232437119	-0.0612324371187134
19	100.79	100.919168657753	-0.129168657753213
20	100.9	100.829492846516	0.0705071534843253
21	100.98	100.923244830991	0.056755169008715
22	101.11	101.125694768482	-0.0156947684820985
23	101.18	101.336297052449	-0.156297052449038
24	101.22	101.435483934575	-0.215483934575416
25	101.23	101.593095966447	-0.363095966447448
26	101.09	101.609400659400	-0.519400659399727
27	101.26	101.690924124161	-0.430924124161126
28	101.28	101.892015337239	-0.612015337239248
29	101.43	102.007506912318	-0.57750691231789
30	101.53	101.946364313747	-0.416364313746846
31	101.54	102.086312928254	-0.54631292825391
32	101.54	101.946364313747	-0.406364313746841
33	101.79	101.942288140509	-0.152288140508771
34	102.18	102.012941809969	0.167058190031349
35	102.37	101.989843494953	0.380156505047077
36	102.46	102.002072014667	0.457927985332857
37	102.46	102.212674298634	0.247325701365908
38	102.03	102.185499810380	-0.155499810380284
39	102.26	102.162401495365	0.0975985046354496
40	102.33	102.207239400983	0.122760599016673
41	102.44	102.178706188317	0.261293811683162
42	102.5	102.023811605270	0.476188394729822
43	102.52	101.945005589334	0.574994410665837
44	102.66	101.860764675747	0.799235324252617
45	102.72	101.818644218954	0.90135578104601

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.000342369094410682	0.000684738188821363	0.99965763090559
6	2.19631162840807e-05	4.39262325681614e-05	0.999978036883716
7	1.04239163641696e-06	2.08478327283392e-06	0.999998957608364
8	2.46188157367723e-06	4.92376314735446e-06	0.999997538118426
9	1.51631937953053e-06	3.03263875906105e-06	0.99999848368062
10	0.000109555781856124	0.000219111563712248	0.999890444218144
11	0.000135767934125275	0.00027153586825055	0.999864232065875
12	0.000202420202925220	0.000404840405850441	0.999797579797075
13	7.13425922918265e-05	0.000142685184583653	0.999928657407708
14	2.13539224248931e-05	4.27078448497862e-05	0.999978646077575
15	6.10672489369811e-06	1.22134497873962e-05	0.999993893275106
16	4.91325394364517e-06	9.82650788729034e-06	0.999995086746056
17	1.41843882489512e-06	2.83687764979024e-06	0.999998581561175
18	4.12411497536744e-07	8.24822995073487e-07	0.999999587588502
19	9.85092500084599e-08	1.97018500016920e-07	0.99999990149075
20	8.03774541945972e-08	1.60754908389194e-07	0.999999919622546
21	6.6352821021149e-08	1.32705642042298e-07	0.999999933647179
22	3.70526485351663e-08	7.41052970703326e-08	0.999999962947351
23	9.65474930837686e-09	1.93094986167537e-08	0.99999999034525
24	2.20421855835674e-09	4.40843711671349e-09	0.999999997795781
25	6.97163422498064e-10	1.39432684499613e-09	0.999999999302837
26	1.13440742382762e-09	2.26881484765524e-09	0.999999998865593
27	7.55858612668382e-10	1.51171722533676e-09	0.999999999244141
28	3.49207994486241e-09	6.98415988972483e-09	0.99999999650792
29	9.73866646069665e-09	1.94773329213933e-08	0.999999990261333
30	4.97482163301949e-08	9.94964326603898e-08	0.999999950251784
31	4.57861652815101e-07	9.15723305630201e-07	0.999999542138347
32	0.000156276012723636	0.000312552025447273	0.999843723987276
33	0.1663009265904	0.3326018531808	0.8336990734096
34	0.737515761424077	0.524968477151847	0.262484238575923
35	0.90833899312973	0.183322013740541	0.0916610068702703
36	0.93225260393449	0.135494792131019	0.0677473960655093
37	0.95684529745877	0.0863094050824605	0.0431547025412303
38	0.99595164773361	0.00809670453277799	0.00404835226638899
39	0.997458906835098	0.00508218632980332	0.00254109316490166
40	0.98960478848302	0.0207904230339585	0.0103952115169793

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	30	0.833333333333333	NOK
5% type I error level	31	0.861111111111111	NOK
10% type I error level	32	0.888888888888889	NOK