Multiple Linear Regression - Estimated Regression Equation
WK<25j[t] = + 144.986686095178 -0.89516816235565ExpBe[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)144.98668609517819.3550187.490900
ExpBe-0.895168162355651.163893-0.76910.4449450.222473


Multiple Linear Regression - Regression Statistics
Multiple R0.100478759942464
R-squared0.0100959811995754
Adjusted R-squared-0.00697132946939738
F-TEST (value)0.591539076975329
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.444945412800618
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation17.3107196211353
Sum Squared Residuals17380.3388004903


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1113132.185781373492-19.1857813734922
2110132.275298189728-22.2752981897278
3107130.753512313723-23.7535123137232
4103131.290613211137-28.2906132111366
598131.111579578665-33.1115795786655
698131.469646843608-33.4696468436078
7137131.5591636598435.44083634015667
8148134.15515133067513.8448486693253
9147130.84302912995916.1569708700412
10139129.8583441513689.1416558486324
11130131.469646843608-1.46964684360776
12128132.722882270906-4.72288227090567
13127131.738197292314-4.73819729231446
14123131.82771410855-8.82771410855002
15118130.663995497488-12.6639954974877
16114131.201096394901-17.2010963949011
17108131.559163659843-23.5591636598433
18111131.111579578665-20.1115795786655
19151131.46964684360819.5303531563922
20159134.51321859561724.486781404383
21158130.39544504878127.604554951219
22148130.03737778383917.9626222161613
23138131.5591636598436.44083634015667
24137131.6486804760795.35131952392111
25136131.9172309247864.08276907521441
26133131.2906132111371.70938678886337
27126128.963175989012-2.96317598901195
28120130.305928232545-10.3059282325454
29114131.201096394901-17.2010963949011
30116128.963175989012-12.9631759890119
31153130.75351231372322.2464876862768
32162132.54384863843529.4561513615655
33161129.05269280524831.9473071947525
34149128.96317598901220.0368240109880
35139129.4107600701909.58923992981023
36135130.0373777838394.96262221616127
37130130.663995497488-0.66399549748768
38127130.126894600074-3.12689460007429
39122127.888974194185-5.88897419418517
40117129.052692805248-12.0526928052475
41112129.589793702661-17.5897937026609
42113128.336558275363-15.336558275363
43149130.39544504878118.6045549512190
44157131.46964684360825.5303531563922
45157127.79945737795029.2005426220504
46147129.14220962148317.8577903785169
47137127.8889741941859.11102580581483
48132128.8736591727763.12634082722362
49125129.321243253954-4.32124325395421
50123129.052692805248-6.05269280524751
51117126.098637869474-9.09863786947387
52114129.589793702661-15.5897937026609
53111127.620423745478-16.6204237454785
54112127.262356480536-15.2623564805362
55144129.23172643771914.7682735622814
56150130.48496186501719.5150381349834
57149127.53090692924321.4690930707571
58134127.1728396643016.82716033569935
59123127.083322848065-4.08332284806508
60116129.500276886425-13.5002768864253


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.03817950611963660.07635901223927320.961820493880363
60.03100775374280220.06201550748560450.968992246257198
70.4699088761531450.939817752306290.530091123846855
80.3830614904796780.7661229809593570.616938509520322
90.8442655600519860.3114688798960290.155734439948014
100.9049075771766690.1901848456466630.0950924228233313
110.8674449696353860.2651100607292270.132555030364614
120.8144586913397730.3710826173204540.185541308660227
130.7541210596368990.4917578807262020.245878940363101
140.6902773364999560.6194453270000880.309722663500044
150.6287066356387690.7425867287224620.371293364361231
160.5973021086814620.8053957826370760.402697891318538
170.6439356709246090.7121286581507820.356064329075391
180.6600616258377180.6798767483245640.339938374162282
190.7698312136932970.4603375726134060.230168786306703
200.7743918577540780.4512162844918430.225608142245922
210.9175569126622160.1648861746755690.0824430873377845
220.9366480565278260.1267038869443480.0633519434721742
230.9156973655497550.1686052689004910.0843026344502455
240.8882218672394130.2235562655211740.111778132760587
250.8538422823240670.2923154353518670.146157717675933
260.8131676902614770.3736646194770460.186832309738523
270.7633261101780820.4733477796438360.236673889821918
280.7364937228948090.5270125542103830.263506277105191
290.787670468019860.4246590639602790.212329531980140
300.7665225358699820.4669549282600360.233477464130018
310.7912636134068880.4174727731862250.208736386593112
320.8267667937722050.3464664124555890.173233206227795
330.9269116525206950.1461766949586090.0730883474793046
340.9348686107660160.1302627784679680.0651313892339841
350.9124847562684260.1750304874631490.0875152437315743
360.8772550095342090.2454899809315820.122744990465791
370.8376517174145040.3246965651709930.162348282585496
380.7948221733392610.4103556533214780.205177826660739
390.7386620181833180.5226759636333640.261337981816682
400.7184081831922740.5631836336154530.281591816807726
410.76834757924260.4633048415147990.231652420757399
420.7715980939618410.4568038120763190.228401906038159
430.7373807431979640.5252385136040720.262619256802036
440.7443326009071010.5113347981857980.255667399092899
450.8749199944579290.2501600110841410.125080005542071
460.876807093575560.2463858128488810.123192906424441
470.8452097356758640.3095805286482720.154790264324136
480.7779235024192090.4441529951615820.222076497580791
490.6975918008938720.6048163982122550.302408199106128
500.6105852566951290.7788294866097420.389414743304871
510.5041726966002860.991654606799430.495827303399715
520.5357973446941170.9284053106117670.464202655305883
530.5294087771232640.9411824457534730.470591222876736
540.546445327211740.907109345576520.45355467278826
550.4094222000787930.8188444001575860.590577799921207


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.0392156862745098OK