Multiple Linear Regression - Estimated Regression Equation

Income[t] = + 5.85983560324739 -0.193750237489209Change[t] + 0.918765989349365Size[t] + 0.111643647631725Complex[t] + 0.0987641837552761Big4[t] + 0.363757783598691Product[t] + 0.00450198364339269t + 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)	5.85983560324739	0.358551	16.3431	0	0
Change	-0.193750237489209	0.180539	-1.0732	0.287714	0.143857
Size	0.918765989349365	0.036376	25.2572	0	0
Complex	0.111643647631725	0.055308	2.0186	0.048243	0.024122
Big4	0.0987641837552761	0.251436	0.3928	0.695932	0.347966
Product	0.363757783598691	0.189636	1.9182	0.060101	0.030051
t	0.00450198364339269	0.004752	0.9474	0.347449	0.173725

Multiple Linear Regression - Regression Statistics
Multiple R	0.982913104345197
R-squared	0.966118170693513
Adjusted R-squared	0.962551662345462
F-TEST (value)	270.886277673063
F-TEST (DF numerator)	6
F-TEST (DF denominator)	57
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.677305054069505
Sum Squared Residuals	26.1483017672814

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	20	19.3307641105418	0.66923588945817
2	14	13.7239059743338	0.276094025666245
3	18	18.0309172795143	-0.030917279514271
4	12	12.7025003046395	-0.70250030463945
5	16	15.280413246345	0.719586753654991
6	13	12.5414967258168	0.458503274183246
7	22	21.7535262292595	0.246473770740457
8	16	16.0189349491353	-0.0189349491353428
9	20	19.6721738648099	0.327826135190093
10	10	11.4174513757775	-1.41745137577751
11	22	21.1549520271967	0.845047972803269
12	17	16.4135801311841	0.586419868815946
13	21	21.192782835187	-0.192782835187032
14	18	17.4401142715755	0.55988572842452
15	13	12.693658226239	0.306341773760986
16	17	18.0862330344704	-1.08623303447042
17	17	16.5348542331563	0.465145766843707
18	19	20.2972369811254	-1.29723698112536
19	12	12.5467427640269	-0.54674276402689
20	14	14.5004203740007	-0.50042037400074
21	13	13.0844279116981	-0.0844279116980607
22	20	19.6485930623165	0.351406937683472
23	20	20.0136427971507	-0.0136427971506601
24	13	12.6808963298756	0.319103670124421
25	21	20.3575777073326	0.642422292667379
26	21	22.5345426125699	-1.53454261256992
27	19	20.2261111862842	-1.22611118628417
28	18	19.2002035329465	-1.20020353294647
29	20	19.2996915703238	0.700308429676206
30	14	14.0603693477358	-0.0603693477357527
31	14	13.7132827945862	0.286717205413823
32	20	19.1065678198883	0.893432180111686
33	21	19.6981148823938	1.30188511760615
34	14	13.6979619048128	0.30203809518716
35	16	16.5042462911056	-0.504246291105636
36	21	21.5491528120228	-0.549152812022756
37	16	16.04105885957	-0.0410588595699574
38	14	13.5510464426007	0.448953557399283
39	19	19.5018394889908	-0.501839488990754
40	22	21.3150466106294	0.68495338937064
41	19	18.7858277044174	0.214172295582617
42	11	10.5606422731592	0.439357726840774
43	13	13.7968436560811	-0.796843656081131
44	16	15.2751198348246	0.724880165175436
45	14	13.9995978608571	0.000402139142874625
46	19	18.7262310327769	0.273768967223138
47	21	20.568264995119	0.431735004881014
48	12	11.9522845378251	0.0477154621748775
49	17	17.9030775842152	-0.90307758421516
50	21	21.6250600469067	-0.625060046906703
51	11	10.9232116049685	0.0767883950315128
52	19	20.44959420793	-1.44959420792998
53	18	17.6689713828218	0.331028617178236
54	14	14.1517593612794	-0.151759361279385
55	19	18.8488554754249	0.15114452457512
56	20	19.5783732109284	0.421626789071571
57	18	17.8274498057306	0.172550194269425
58	22	21.9535903372983	0.0464096627016709
59	16	16.1401024997246	-0.140102499724597
60	20	20.5684268840053	-0.568426884005334
61	14	14.0716295991514	-0.0716295991514085
62	22	21.5545607391192	0.445439260880759
63	25	24.2858236330365	0.714176366963512
64	20	19.6676688292295	0.33233117077046

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.520040215095388	0.959919569809224	0.479959784904612
11	0.378010817055758	0.756021634111515	0.621989182944242
12	0.51160368153319	0.97679263693362	0.48839631846681
13	0.478245773055909	0.956491546111819	0.521754226944091
14	0.597851780620124	0.804296438759753	0.402148219379876
15	0.55087082980369	0.89825834039262	0.44912917019631
16	0.699876535427654	0.600246929144693	0.300123464572346
17	0.66528586877883	0.66942826244234	0.33471413122117
18	0.828312515524793	0.343374968950415	0.171687484475207
19	0.774941790465774	0.450116419068452	0.225058209534226
20	0.712896216111944	0.574207567776112	0.287103783888056
21	0.642703186599911	0.714593626800178	0.357296813400089
22	0.607897642327156	0.784204715345687	0.392102357672844
23	0.523153590955618	0.953692818088763	0.476846409044382
24	0.493698162791037	0.987396325582074	0.506301837208963
25	0.504382597053094	0.991234805893812	0.495617402946906
26	0.709266343962852	0.581467312074296	0.290733656037148
27	0.771683886539379	0.456632226921242	0.228316113460621
28	0.88212311146622	0.235753777067561	0.11787688853378
29	0.919283332136563	0.161433335726874	0.0807166678634372
30	0.894105226731429	0.211789546537143	0.105894773268571
31	0.863563093347335	0.27287381330533	0.136436906652665
32	0.908909021535258	0.182181956929484	0.0910909784647419
33	0.978505918016126	0.0429881639677475	0.0214940819838738
34	0.96978167328081	0.0604366534383807	0.0302183267191903
35	0.96198127424885	0.0760374515023006	0.0380187257511503
36	0.952221465067554	0.0955570698648913	0.0477785349324456
37	0.928392402951221	0.143215194097559	0.0716075970487794
38	0.912032760173577	0.175934479652846	0.0879672398264228
39	0.896179598352932	0.207640803294136	0.103820401647068
40	0.889258475609595	0.221483048780809	0.110741524390405
41	0.879106343696581	0.241787312606838	0.120893656303419
42	0.841156217710972	0.317687564578055	0.158843782289028
43	0.86322855923274	0.273542881534519	0.13677144076726
44	0.846264663321707	0.307470673356586	0.153735336678293
45	0.8102789328305	0.379442134339002	0.189721067169501
46	0.76786417180435	0.464271656391299	0.232135828195649
47	0.79827356890843	0.403452862183139	0.201726431091569
48	0.774675959483742	0.450648081032517	0.225324040516258
49	0.722003118223203	0.555993763553595	0.277996881776797
50	0.625326842089071	0.749346315821858	0.374673157910929
51	0.511721376541092	0.976557246917815	0.488278623458908
52	0.945676798925921	0.108646402148157	0.0543232010740786
53	0.940730831838294	0.118538336323411	0.0592691681617057
54	0.876254501502585	0.247490996994829	0.123745498497415

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	1	0.0222222222222222	OK
10% type I error level	4	0.0888888888888889	OK