Multiple Linear Regression - Estimated Regression Equation

BESTC[t] = -0.75448327137553 + 0.307049523018442INDUSTR[t] + 0.694996652147111Y3[t] + 1.72757373099391M1[t] -0.579545947732459M2[t] + 2.03034588826871M3[t] -0.75591220373799M4[t] -3.99789829388022M5[t] -1.18967180175891M6[t] + 0.298094479651019M7[t] + 6.44444054242996M8[t] + 1.32753134816382M9[t] + 3.57349423814607M10[t] + 3.23498817808467M11[t] + 0.0472542409650887t + 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)	-0.75448327137553	8.666941	-0.0871	0.931043	0.465522
INDUSTR	0.307049523018442	0.038377	8.0008	0	0
Y3	0.694996652147111	0.096251	7.2207	0	0
M1	1.72757373099391	0.863791	2	0.051996	0.025998
M2	-0.579545947732459	1.040881	-0.5568	0.58063	0.290315
M3	2.03034588826871	1.010433	2.0094	0.050951	0.025476
M4	-0.75591220373799	0.893009	-0.8465	0.402084	0.201042
M5	-3.99789829388022	0.855833	-4.6714	3.1e-05	1.5e-05
M6	-1.18967180175891	0.871828	-1.3646	0.179655	0.089827
M7	0.298094479651019	0.734704	0.4057	0.686997	0.343499
M8	6.44444054242996	0.923344	6.9795	0	0
M9	1.32753134816382	0.731309	1.8153	0.076625	0.038313
M10	3.57349423814607	0.820174	4.357	8.3e-05	4.2e-05
M11	3.23498817808467	0.8578	3.7713	0.000502	0.000251
t	0.0472542409650887	0.031433	1.5033	0.140235	0.070117

Multiple Linear Regression - Regression Statistics
Multiple R	0.98466733380303
R-squared	0.969569758258765
Adjusted R-squared	0.95942634434502
F-TEST (value)	95.586137616345
F-TEST (DF numerator)	14
F-TEST (DF denominator)	42
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	1.0859361766499
Sum Squared Residuals	49.5288099497942

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	98.3	99.3885169653282	-1.08851696532819
2	96.38	96.725080887137	-0.345080887136932
3	100.82	102.631211223783	-1.81121122378281
4	99.06	99.2369923117442	-0.176992311744223
5	94.03	94.4008173674262	-0.370817367426193
6	102.07	102.122970469553	-0.0529704695527258
7	99.31	98.9958422263423	0.314157773657726
8	98.64	100.127656802392	-1.48765680239229
9	101.82	102.088907690541	-0.268907690540689
10	99.14	99.332028926774	-0.192028926773886
11	97.63	97.7460956385892	-0.116095638589223
12	100.06	100.299520570010	-0.239520570009528
13	101.32	100.825856560251	0.494143439748832
14	101.49	101.047615692460	0.442384307540174
15	105.43	105.792768014068	-0.362768014067527
16	105.09	103.806640135524	1.2833598644761
17	99.48	99.4097447682325	0.0702552317675301
18	108.53	108.288942207076	0.241057792924179
19	104.34	103.262443693541	1.07755630645909
20	106.1	105.649227635645	0.450772364354807
21	107.35	107.207046859596	0.142953140404218
22	103	103.272093169448	-0.272093169447541
23	104.5	104.142625553526	0.357374446473547
24	105.17	104.065098949625	1.10490105037461
25	104.84	104.904628241270	-0.0646282412698626
26	106.18	106.419998536593	-0.239998536593377
27	108.86	108.928693324461	-0.068693324461323
28	107.77	106.359504958135	1.41049504186485
29	102.74	102.714345769252	0.0256542307478491
30	112.63	109.244009715902	3.3859902840984
31	106.26	105.446445994461	0.813554005538527
32	108.86	108.481967613226	0.378032386774175
33	111.38	110.777108786489	0.602891213510783
34	106.85	106.432440677527	0.417559322473321
35	107.86	107.702540535598	0.157459464401905
36	107.94	108.691889393735	-0.751889393734923
37	111.38	111.217911473802	0.162088526198271
38	111.29	111.962864077347	-0.672864077347334
39	113.72	113.539526651317	0.180473348682869
40	111.88	113.49836080668	-1.61836080668003
41	109.87	109.412045546660	0.457954453340149
42	113.72	114.416942428991	-0.696942428991389
43	111.71	113.015101687116	-1.30510168711614
44	114.81	114.096459491521	0.713540508478675
45	112.05	112.685100122646	-0.635100122645671
46	111.54	111.493437226252	0.0465627737481058
47	110.87	111.268738272286	-0.398738272286228
48	110.87	110.983491086630	-0.113491086630163
49	115.48	114.983086759349	0.496913240650947
50	111.63	110.814440806463	0.815559193537468
51	116.24	114.177800786371	2.06219921362879
52	113.56	114.458501787917	-0.898501787916705
53	106.01	106.193046548429	-0.183046548429334
54	110.45	113.327135178478	-2.87713517847846
55	107.77	108.670166398539	-0.9001663985392
56	108.61	108.664688457215	-0.0546884572153699
57	108.19	108.031836540729	0.158163459271359

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
18	0.0156320235133899	0.0312640470267798	0.98436797648661
19	0.00312730066804834	0.00625460133609669	0.996872699331952
20	0.0197379294690186	0.0394758589380372	0.980262070530981
21	0.00726961134014399	0.0145392226802880	0.992730388659856
22	0.00792279400655488	0.0158455880131098	0.992077205993445
23	0.00275747901082016	0.00551495802164032	0.99724252098918
24	0.00122855038029354	0.00245710076058709	0.998771449619706
25	0.00355053968126461	0.00710107936252923	0.996449460318735
26	0.00468918375973849	0.00937836751947698	0.995310816240262
27	0.00361316363691891	0.00722632727383783	0.996386836363081
28	0.00181204479657147	0.00362408959314294	0.998187955203429
29	0.00144693230535361	0.00289386461070723	0.998553067694646
30	0.183709231137181	0.367418462274362	0.81629076886282
31	0.281565745793818	0.563131491587636	0.718434254206182
32	0.195694440567751	0.391388881135502	0.80430555943225
33	0.154180432058697	0.308360864117394	0.845819567941303
34	0.113840621212836	0.227681242425672	0.886159378787164
35	0.102572273979482	0.205144547958965	0.897427726020518
36	0.118235944853522	0.236471889707044	0.881764055146478
37	0.0734427033309255	0.146885406661851	0.926557296669074
38	0.066356891729443	0.132713783458886	0.933643108270557
39	0.089739527930211	0.179479055860422	0.910260472069789

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	8	0.363636363636364	NOK
5% type I error level	12	0.545454545454545	NOK
10% type I error level	12	0.545454545454545	NOK