Multiple Linear Regression - Estimated Regression Equation

WlhBe[t] = + 563.25 -24.7115384615384X[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)	563.25	5.937654	94.8607	0	0
X	-24.7115384615384	12.861988	-1.9213	0.059531	0.029766

Multiple Linear Regression - Regression Statistics
Multiple R	0.242654261833831
R-squared	0.0588810907861214
Adjusted R-squared	0.0429299228333438
F-TEST (value)	3.69133413681274
F-TEST (DF numerator)	1
F-TEST (DF denominator)	59
p-value	0.0595310492716236
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	41.1372713944857
Sum Squared Residuals	99844.2307692306

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	613	563.250000000001	49.7499999999988
2	611	563.25	47.75
3	594	563.25	30.75
4	595	563.25	31.75
5	591	563.25	27.75
6	589	563.25	25.7500000000000
7	584	563.25	20.7500000000000
8	573	563.25	9.75000000000002
9	567	563.25	3.75000000000002
10	569	563.25	5.75000000000002
11	621	563.25	57.75
12	629	563.25	65.75
13	628	563.25	64.75
14	612	563.25	48.75
15	595	563.25	31.75
16	597	563.25	33.75
17	593	563.25	29.75
18	590	563.25	26.7500000000000
19	580	563.25	16.7500000000000
20	574	563.25	10.7500000000000
21	573	563.25	9.75000000000002
22	573	563.25	9.75000000000002
23	620	563.25	56.75
24	626	563.25	62.75
25	620	563.25	56.75
26	588	563.25	24.7500000000000
27	566	563.25	2.75000000000002
28	557	563.25	-6.24999999999998
29	561	563.25	-2.24999999999998
30	549	563.25	-14.2500000000000
31	532	563.25	-31.25
32	526	563.25	-37.25
33	511	563.25	-52.25
34	499	563.25	-64.25
35	555	563.25	-8.24999999999997
36	565	563.25	1.75000000000002
37	542	563.25	-21.2500000000000
38	527	563.25	-36.25
39	510	563.25	-53.25
40	514	563.25	-49.25
41	517	563.25	-46.25
42	508	563.25	-55.25
43	493	563.25	-70.25
44	490	563.25	-73.25
45	469	563.25	-94.25
46	478	563.25	-85.25
47	528	563.25	-35.25
48	534	563.25	-29.25
49	518	538.538461538462	-20.5384615384615
50	506	538.538461538462	-32.5384615384615
51	502	538.538461538462	-36.5384615384615
52	516	538.538461538462	-22.5384615384615
53	528	538.538461538462	-10.5384615384615
54	533	538.538461538462	-5.53846153846154
55	536	538.538461538462	-2.53846153846154
56	537	538.538461538462	-1.53846153846154
57	524	538.538461538462	-14.5384615384615
58	536	538.538461538462	-2.53846153846154
59	587	538.538461538462	48.4615384615385
60	597	538.538461538462	58.4615384615385
61	581	538.538461538462	42.4615384615385

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.0316833487290806	0.0633666974581613	0.96831665127092
6	0.0117627595630540	0.0235255191261080	0.988237240436946
7	0.00567091316733492	0.0113418263346698	0.994329086832665
8	0.00592629432576366	0.0118525886515273	0.994073705674236
9	0.00654637321190572	0.0130927464238114	0.993453626788094
10	0.00459734350698005	0.0091946870139601	0.99540265649302
11	0.00735113685197553	0.0147022737039511	0.992648863148024
12	0.0146369227475277	0.0292738454950554	0.985363077252472
13	0.0211731261136838	0.0423462522273675	0.978826873886316
14	0.015665322140257	0.031330644280514	0.984334677859743
15	0.00919952842183509	0.0183990568436702	0.990800471578165
16	0.00545468198719831	0.0109093639743966	0.994545318012802
17	0.00323427919931338	0.00646855839862675	0.996765720800687
18	0.00195863097223663	0.00391726194447327	0.998041369027763
19	0.00139678057979272	0.00279356115958544	0.998603219420207
20	0.00117197040639105	0.0023439408127821	0.99882802959361
21	0.000981087642470499	0.00196217528494100	0.99901891235753
22	0.000798159481168932	0.00159631896233786	0.999201840518831
23	0.00180879997623531	0.00361759995247063	0.998191200023765
24	0.00729005791370595	0.0145801158274119	0.992709942086294
25	0.0246346036519067	0.0492692073038135	0.975365396348093
26	0.0334674883858569	0.0669349767717138	0.966532511614143
27	0.0498065959529522	0.0996131919059045	0.950193404047048
28	0.0804925919798834	0.160985183959767	0.919507408020117
29	0.115947130971383	0.231894261942767	0.884052869028617
30	0.176561678864449	0.353123357728898	0.82343832113555
31	0.291113090518402	0.582226181036803	0.708886909481598
32	0.413422723709822	0.826845447419644	0.586577276290178
33	0.575397726503296	0.849204546993407	0.424602273496704
34	0.735943842513563	0.528112314972874	0.264056157486437
35	0.755325112345167	0.489349775309665	0.244674887654833
36	0.819656297468832	0.360687405062336	0.180343702531168
37	0.84076553333204	0.318468933335918	0.159234466667959
38	0.85229241208247	0.29541517583506	0.14770758791753
39	0.866461231596592	0.267077536806816	0.133538768403408
40	0.868197873747586	0.263604252504829	0.131802126252414
41	0.864295794101125	0.271408411797749	0.135704205898875
42	0.858854921249682	0.282290157500637	0.141145078750318
43	0.8626053986837	0.2747892026326	0.1373946013163
44	0.863003532510605	0.273992934978790	0.136996467489395
45	0.912200907086094	0.175598185827812	0.0877990929139062
46	0.944311433495764	0.111377133008471	0.0556885665042356
47	0.915095839439229	0.169808321121542	0.0849041605607708
48	0.871593498785471	0.256813002429058	0.128406501214529
49	0.827227593662715	0.345544812674571	0.172772406337285
50	0.81236377428029	0.375272451439422	0.187636225719711
51	0.829951645442686	0.340096709114629	0.170048354557315
52	0.810436690231945	0.379126619536109	0.189563309768055
53	0.753999282013059	0.492001435973883	0.246000717986941
54	0.67442509018805	0.651149819623899	0.325574909811949
55	0.575281477036942	0.849437045926117	0.424718522963058
56	0.468311151816271	0.936622303632542	0.531688848183729

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	8	0.153846153846154	NOK
5% type I error level	20	0.384615384615385	NOK
10% type I error level	23	0.442307692307692	NOK