Multiple Linear Regression - Estimated Regression Equation

Bestc[t] = + 82.8947144033536 + 0.226989745422757Industr[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)	82.8947144033536	7.80596	10.6194	0	0
Industr	0.226989745422757	0.076451	2.9691	0.004337	0.002169

Multiple Linear Regression - Regression Statistics
Multiple R	0.363231545188491
R-squared	0.131937155420019
Adjusted R-squared	0.116970554651398
F-TEST (value)	8.81543895368974
F-TEST (DF numerator)	1
F-TEST (DF denominator)	58
p-value	0.00433737723847472
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	5.4710305338954
Sum Squared Residuals	1736.06615596331

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	96.96	103.119500720522	-6.15950072052163
2	93.11	101.802960197069	-8.69296019706928
3	95.62	105.071612531157	-9.45161253115697
4	98.3	105.797979716510	-7.4979797165098
5	96.38	107.477703832638	-11.0977038326382
6	100.82	108.589953585210	-7.76995358520971
7	99.06	106.728637672743	-7.6686376727431
8	94.03	106.501647927320	-12.4716479273203
9	102.07	107.818188450772	-5.74818845077234
10	99.31	105.275903302037	-5.96590330203745
11	98.64	104.118255600381	-5.4782556003814
12	101.82	105.185107403868	-3.36510740386836
13	99.14	102.869812000556	-3.72981200055623
14	97.63	102.256939687915	-4.6269396879148
15	100.06	104.867321760276	-4.80732176027649
16	101.32	105.321301251122	-4.00130125112201
17	101.49	107.931683323484	-6.44168332348371
18	105.43	108.226769992533	-2.79676999253328
19	105.09	108.135974094364	-3.04597409436419
20	99.48	107.159918189046	-7.67991818904633
21	108.53	109.588708465070	-1.05870846506983
22	104.34	104.912719709361	-0.572719709361042
23	106.1	104.980816632988	1.11918336701212
24	107.35	105.230505352953	2.11949464704709
25	103	102.779016102387	0.220983897612869
26	104.5	102.733618153303	1.76638184669742
27	105.17	104.390643294889	0.779356705111296
28	104.84	105.934173563763	-1.09417356376345
29	106.18	107.954382298026	-1.77438229802598
30	108.86	107.500402807180	1.35959719281953
31	107.77	107.79548947623	-0.0254894762300594
32	102.74	106.774035621828	-4.03403562182766
33	112.63	108.113275119822	4.51672488017808
34	106.26	104.731127913023	1.52887208697716
35	108.86	104.980816632988	3.87918336701213
36	111.38	105.344000225664	6.03599977433571
37	106.85	103.709674058620	3.14032594137956
38	107.86	103.528082262282	4.33191773771777
39	107.94	105.321301251122	2.61869874887799
40	111.38	108.204071017991	3.17592898200898
41	111.29	109.906494108662	1.38350589133831
42	113.72	109.066632050597	4.65336794940251
43	111.88	109.293621796020	2.58637820397975
44	109.87	108.680749483379	1.1892505166212
45	113.72	109.021234101513	4.69876589848706
46	111.71	107.79548947623	3.91451052376994
47	114.81	105.048913556615	9.7610864433853
48	112.05	105.775280741968	6.27471925803248
49	111.54	104.231750473093	7.30824952690723
50	110.87	102.688220204218	8.18177979578197
51	110.87	106.251959207355	4.61804079264469
52	115.48	108.158673068906	7.32132693109354
53	111.63	107.091821265420	4.53817873458049
54	116.24	107.613897679892	8.62610232010815
55	113.56	107.477703832638	6.08229616736181
56	106.01	105.707183818341	0.302816181659311
57	110.45	106.501647927320	3.94835207267966
58	107.77	103.301092516859	4.46890748314052
59	108.61	102.597424306049	6.01257569395107
60	108.19	103.596179185909	4.59382081409094

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.0570043247514759	0.114008649502952	0.942995675248524
6	0.0326633794048792	0.0653267588097583	0.96733662059512
7	0.0135210902476232	0.0270421804952463	0.986478909752377
8	0.0366513476159142	0.0733026952318283	0.963348652384086
9	0.0447552264469652	0.0895104528939305	0.955244773553035
10	0.0382208407620885	0.076441681524177	0.961779159237911
11	0.0340812952767408	0.0681625905534817	0.96591870472326
12	0.058613704392408	0.117227408784816	0.941386295607592
13	0.0578912749248878	0.115782549849776	0.942108725075112
14	0.049327363980359	0.098654727960718	0.95067263601964
15	0.0499829006442775	0.099965801288555	0.950017099355723
16	0.0606622709183336	0.121324541836667	0.939337729081666
17	0.0692959262800967	0.138591852560193	0.930704073719903
18	0.125257831171985	0.250515662343970	0.874742168828015
19	0.165314125622892	0.330628251245784	0.834685874377108
20	0.295046499898027	0.590092999796054	0.704953500101973
21	0.425530412761709	0.851060825523418	0.574469587238291
22	0.568973334988962	0.862053330022077	0.431026665011038
23	0.723749763886145	0.552500472227711	0.276250236113855
24	0.835024593003671	0.329950813992657	0.164975406996329
25	0.873013032618358	0.253973934763284	0.126986967381642
26	0.902944483009236	0.194111033981528	0.0970555169907642
27	0.921216620075724	0.157566759848552	0.0787833799242762
28	0.94153338102505	0.116933237949901	0.0584666189749503
29	0.959316193192295	0.0813676136154102	0.0406838068077051
30	0.967303081499273	0.0653938370014534	0.0326969185007267
31	0.97338926274044	0.0532214745191217	0.0266107372595609
32	0.997160929621417	0.00567814075716649	0.00283907037858325
33	0.998246342005132	0.00350731598973507	0.00175365799486754
34	0.99889566682755	0.00220866634489867	0.00110433317244933
35	0.998994494112864	0.00201101177427195	0.00100550588713598
36	0.999260921145064	0.00147815770987247	0.000739078854936237
37	0.999276893160807	0.00144621367838662	0.000723106839193309
38	0.999151694641943	0.00169661071611455	0.000848305358057274
39	0.99914298093614	0.00171403812772184	0.000857019063860918
40	0.998769754006002	0.00246049198799632	0.00123024599399816
41	0.998410502057167	0.00317899588566697	0.00158949794283348
42	0.997610969559432	0.00477806088113591	0.00238903044056795
43	0.996257692609423	0.00748461478115463	0.00374230739057732
44	0.99685295166828	0.00629409666343941	0.00314704833171970
45	0.994570732028423	0.0108585359431535	0.00542926797157675
46	0.991667217470433	0.0166655650591332	0.0083327825295666
47	0.996475899273584	0.00704820145283169	0.00352410072641585
48	0.993570263857673	0.0128594722846548	0.00642973614232738
49	0.990859413236428	0.0182811735271436	0.0091405867635718
50	0.993067764644661	0.0138644707106771	0.00693223535533857
51	0.984068796230159	0.0318624075396822	0.0159312037698411
52	0.971400254999025	0.0571994900019505	0.0285997450009753
53	0.93717612034957	0.125647759300861	0.0628238796504304
54	0.949597286008669	0.100805427982662	0.0504027139913312
55	0.95488927270345	0.0902214545931005	0.0451107272965502

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	14	0.274509803921569	NOK
5% type I error level	21	0.411764705882353	NOK
10% type I error level	33	0.647058823529412	NOK