Multiple Linear Regression - Estimated Regression Equation

AKW[t] = + 109.731009518592 -0.0343479895600967AKB[t] + 0.123957829007378t + 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)	109.731009518592	0.696526	157.5405	0	0
AKB	-0.0343479895600967	0.006265	-5.4828	1e-06	0
t	0.123957829007378	0.004774	25.9647	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.973918245314072
R-squared	0.948516748555642
Adjusted R-squared	0.946741464023078
F-TEST (value)	534.289986285004
F-TEST (DF numerator)	2
F-TEST (DF denominator)	58
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.44716919389781
Sum Squared Residuals	11.5976967023306

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	104.89	105.595816642147	-0.705816642147231
2	105.15	105.904223175093	-0.754223175092508
3	105.24	105.917236997821	-0.677236997820783
4	105.57	106.106112527097	-0.536112527096747
5	105.62	106.05626952893	-0.436269528930024
6	106.17	106.006426530763	0.163573469236684
7	106.27	106.248541443857	0.0214585561425686
8	106.41	106.542521821187	-0.132521821187287
9	106.94	106.750975704512	0.189024295487498
10	107.16	106.758493848911	0.401506151088847
11	107.32	107.087509175592	0.232490824407689
12	107.32	107.298710898082	0.0212891019176655
13	107.35	107.457360196545	-0.107360196545409
14	107.55	107.598492020333	-0.0484920203328324
15	107.87	107.695314937588	0.174685062412274
16	108.37	107.758133345178	0.611866654821868
17	108.38	107.681842395050	0.698157604949845
18	107.92	107.859726567667	0.060273432333121
19	108.03	108.078484847860	-0.048484847860124
20	108.14	108.189046960939	-0.0490469609390653
21	108.3	108.301326473496	-0.00132647349601354
22	108.64	108.350749165158	0.289250834842022
23	108.66	108.428680688155	0.23131931184517
24	109.04	108.684191317177	0.355808682822631
25	109.03	108.819140502844	0.210859497156017
26	109.03	108.853106599204	0.176893400796093
27	109.54	108.870585660575	0.66941433942502
28	109.75	108.939930186182	0.81006981381819
29	109.83	109.262762874742	0.567237125257851
30	109.65	109.570482447896	0.0795175521039623
31	109.82	109.665244485777	0.154755514222655
32	109.95	109.767219601466	0.182780398533748
33	110.12	109.744511515052	0.375488484947985
34	110.15	109.811451681390	0.338548318610368
35	110.21	110.007196808578	0.202803191422377
36	109.99	110.128750278316	-0.138750278315793
37	110.14	110.270569061894	-0.130569061894416
38	110.14	110.400366049127	-0.26036604912701
39	110.81	110.506119443668	0.303880556332466
40	110.97	110.532528982324	0.437471017675758
41	110.99	110.527338370586	0.46266162941434
42	109.73	110.432156026200	-0.702156026199612
43	109.81	110.591148804558	-0.781148804558290
44	110.02	110.659806370374	-0.639806370373918
45	110.18	110.681407190492	-0.501407190492198
46	110.21	110.784069265972	-0.574069265972329
47	110.25	110.737317586866	-0.48731758686602
48	110.36	110.997636934427	-0.637636934426982
49	110.51	111.284747713845	-0.774747713844813
50	110.6	111.501445114664	-0.901445114664462
51	110.95	111.454006475767	-0.50400647576695
52	111.18	111.428207070292	-0.248207070292302
53	111.19	111.278067942610	-0.0880679426101177
54	111.69	111.452517316271	0.237482683729163
55	111.7	111.420535272675	0.279464727324629
56	111.83	111.286883179982	0.543116820017972
57	111.77	111.332527592792	0.437472407207611
58	111.73	111.249023564857	0.480976435143226
59	112.01	111.440990413193	0.569009586806857
60	111.86	111.898467220829	-0.0384672208290643
61	112.04	112.105547184572	-0.0655471845718699

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.052001162738918	0.104002325477836	0.947998837261082
7	0.0153089586708070	0.0306179173416139	0.984691041329193
8	0.00436935562053882	0.00873871124107763	0.99563064437946
9	0.00593000818568103	0.0118600163713621	0.994069991814319
10	0.00244536509717063	0.00489073019434126	0.99755463490283
11	0.000736655965447165	0.00147331193089433	0.999263344034553
12	0.000759462453610602	0.00151892490722120	0.99924053754639
13	0.00177622226027771	0.00355244452055542	0.998223777739722
14	0.00174240001777443	0.00348480003554885	0.998257599982226
15	0.00081407208301982	0.00162814416603964	0.99918592791698
16	0.000427656445507792	0.000855312891015584	0.999572343554492
17	0.000251675429203963	0.000503350858407926	0.999748324570796
18	0.0132807213352121	0.0265614426704242	0.986719278664788
19	0.0513832772586011	0.102766554517202	0.948616722741399
20	0.106056278300795	0.212112556601589	0.893943721699205
21	0.148225362639775	0.296450725279550	0.851774637360225
22	0.124368979275466	0.248737958550932	0.875631020724534
23	0.120859639214345	0.241719278428689	0.879140360785655
24	0.0885585991780521	0.177117198356104	0.911441400821948
25	0.0753837672491183	0.150767534498237	0.924616232750882
26	0.0766753704776331	0.153350740955266	0.923324629522367
27	0.0541794047251646	0.108358809450329	0.945820595274835
28	0.0385551327242827	0.0771102654485654	0.961444867275717
29	0.0257146571441168	0.0514293142882337	0.974285342855883
30	0.0265950858361949	0.0531901716723898	0.973404914163805
31	0.0231689960488151	0.0463379920976302	0.976831003951185
32	0.0198376277432300	0.0396752554864599	0.98016237225677
33	0.0162152467819164	0.0324304935638328	0.983784753218084
34	0.0147705492908951	0.0295410985817901	0.985229450709105
35	0.0162989992320634	0.0325979984641268	0.983701000767937
36	0.0277625199995066	0.0555250399990131	0.972237480000493
37	0.0373084828935053	0.0746169657870105	0.962691517106495
38	0.0515280839599898	0.103056167919980	0.94847191604001
39	0.100041437105112	0.200082874210223	0.899958562894889
40	0.395983923505107	0.791967847010215	0.604016076494893
41	0.99724763040462	0.00550473919076133	0.00275236959538067
42	0.998762002823673	0.00247599435265345	0.00123799717632673
43	0.9988491605804	0.0023016788391994	0.0011508394195997
44	0.998036295648763	0.00392740870247357	0.00196370435123678
45	0.99595237394728	0.00809525210544047	0.00404762605272023
46	0.991945242775261	0.0161095144494779	0.00805475722473897
47	0.989148761259929	0.0217024774801422	0.0108512387400711
48	0.989487638366013	0.0210247232679731	0.0105123616339866
49	0.989218079717433	0.0215638405651334	0.0107819202825667
50	0.99352716237443	0.0129456752511382	0.00647283762556909
51	0.99000608522291	0.0199878295541820	0.00999391477709102
52	0.981431988031493	0.0371360239370138	0.0185680119685069
53	0.997980072122548	0.00403985575490325	0.00201992787745162
54	0.992160737833225	0.0156785243335508	0.00783926216677538
55	0.971079792632564	0.0578404147348727	0.0289202073674363

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	15	0.3	NOK
5% type I error level	31	0.62	NOK
10% type I error level	37	0.74	NOK