Multiple Linear Regression - Estimated Regression Equation
WGM[t] = + 7.2296929775596 -0.00837328842482997EcGr[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.22969297755960.07633194.714600
EcGr-0.008373288424829970.01381-0.60630.5462410.27312


Multiple Linear Regression - Regression Statistics
Multiple R0.0717705598154886
R-squared0.00515101325622863
Adjusted R-squared-0.00886094430354278
F-TEST (value)0.367615533679411
F-TEST (DF numerator)1
F-TEST (DF denominator)71
p-value0.546240609795597
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.648303404675179
Sum Squared Residuals29.8411086204534


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
17.37.236391608299410.0636083917005848
27.67.231367635244560.368632364755444
37.57.228018319874620.271981680125376
47.67.221319689134760.37868031086524
57.97.229692977559590.67030702244041
67.97.231367635244560.668632364755444
78.17.221319689134760.87868031086524
88.27.226343662189660.973656337810341
987.221319689134760.77868031086524
107.57.215458387237380.284541612762621
116.87.20373578344262-0.403735783442617
126.57.20206112575765-0.702061125757651
136.67.20373578344262-0.603735783442617
147.67.200386468072680.399613531927315
1587.179453247010610.82054675298939
168.17.181965233538060.91803476646194
177.77.190338521962890.509661478037111
187.57.19452516617530.305474833824696
197.67.19954913923020.400450860769798
207.87.192850508490340.607149491509662
217.87.208759756497510.591240243502485
227.87.234716950614490.565283049385512
237.57.245602225566770.254397774433233
247.57.245602225566770.254397774433233
257.17.22383167566221-0.123831675662209
267.57.237228937141940.262771062858063
277.57.24392756788180.256072432118199
287.67.255650171676560.344349828323437
297.77.247276883251730.452723116748267
307.77.228018319874620.471981680125376
317.97.21964503144980.680354968550206
328.17.197874481545240.902125518454764
338.27.196199823860271.00380017613973
348.27.174429273955711.02557072604429
358.27.185314548907991.01468545109201
367.97.166055985530880.733944014469118
377.37.190338521962890.109661478037111
386.97.17442927395571-0.274429273955712
396.67.19285050849034-0.592850508490338
406.77.19117585080537-0.491175850805372
416.97.17945324701061-0.27945324701061
4277.1895011931204-0.189501193120406
437.17.19619982386027-0.0961998238602704
447.27.20708509881255-0.00708509881254887
457.17.2045731122851-0.104573112285100
466.97.19536249501779-0.295362495017787
4777.19619982386027-0.19619982386027
486.87.20708509881255-0.407085098812549
496.47.20792242765503-0.807922427655032
506.77.20373578344262-0.503735783442617
516.67.19285050849034-0.592850508490338
526.47.2045731122851-0.8045731122851
536.37.21294640070993-0.91294640070993
546.27.21880770260731-1.01880770260731
556.57.21713304492235-0.717133044922345
566.87.21880770260731-0.418807702607311
576.87.20289845460013-0.402898454600134
586.47.2146210583949-0.814621058394896
596.17.20206112575765-1.10206112575765
605.87.22131968913476-1.42131968913476
616.17.20959708534-1.10959708534
627.27.22634366218966-0.0263436621896578
637.37.230530306402070.0694696935979269
646.97.21880770260731-0.318807702607311
656.17.2389035948269-1.13890359482690
665.87.26653544662884-1.46653544662884
676.27.29249264074581-1.09249264074581
687.17.33184709634252-0.231847096342516
697.77.351105659719620.348894340280376
707.97.363665592356870.536334407643131
717.77.369526894254250.33047310574575
727.47.366177578884320.0338224211156819
737.57.371201551939220.128798448060784


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.0522295361294850.104459072258970.947770463870515
60.03655259072212830.07310518144425660.963447409277872
70.02301433972421910.04602867944843830.976985660275781
80.02482288468900940.04964576937801870.97517711531099
90.01051493710432860.02102987420865710.989485062895672
100.01505405366677040.03010810733354090.98494594633323
110.04589985819751170.09179971639502340.954100141802488
120.05463601412908790.1092720282581760.945363985870912
130.0406201995793220.0812403991586440.959379800420678
140.06091790908918850.1218358181783770.939082090910812
150.2044964053915520.4089928107831040.795503594608448
160.2631415744322770.5262831488645540.736858425567723
170.2134631829538860.4269263659077730.786536817046114
180.1608891413209170.3217782826418340.839110858679083
190.1208056709661440.2416113419322880.879194329033856
200.1002951305101080.2005902610202150.899704869489892
210.08121900110651050.1624380022130210.91878099889349
220.0633806841413420.1267613682826840.936619315858658
230.04562548410749480.09125096821498950.954374515892505
240.03201147396145490.06402294792290970.967988526038545
250.02786425678007720.05572851356015440.972135743219923
260.01898564007593420.03797128015186850.981014359924066
270.01268197603343630.02536395206687250.987318023966564
280.008514112456680410.01702822491336080.99148588754332
290.006106229373521590.01221245874704320.993893770626478
300.004496106252838030.008992212505676070.995503893747162
310.004512070251237550.00902414050247510.995487929748762
320.007729018355629750.01545803671125950.99227098164437
330.01798010603056080.03596021206112160.98201989396944
340.04559133671721440.09118267343442880.954408663282786
350.1243580665008390.2487161330016770.875641933499161
360.2388712335535910.4777424671071820.761128766446409
370.2772736520781230.5545473041562460.722726347921877
380.3533890000301090.7067780000602190.64661099996989
390.455175406153070.910350812306140.54482459384693
400.5036408849569080.9927182300861850.496359115043092
410.5188947927675440.9622104144649120.481105207232456
420.5263396852224630.9473206295550750.473660314777537
430.5400639525538850.919872094892230.459936047446115
440.5653004639918250.869399072016350.434699536008175
450.5883667453176970.8232665093646050.411633254682303
460.6058107036004960.7883785927990070.394189296399504
470.641803230465810.7163935390683810.358196769534190
480.650936636826870.6981267263462590.349063363173129
490.6812013360901240.6375973278197520.318798663909876
500.6787137071800510.6425725856398980.321286292819949
510.67835726675240.6432854664952010.321642733247600
520.6772943404772030.6454113190455940.322705659522797
530.6831547022165720.6336905955668550.316845297783428
540.7014476671486510.5971046657026980.298552332851349
550.6669809096569070.6660381806861850.333019090343093
560.6324958604765590.7350082790468820.367504139523441
570.6259746495510120.7480507008979770.374025350448988
580.5827965071503640.8344069856992710.417203492849636
590.5562761492445990.8874477015108020.443723850755401
600.6333827285661590.7332345428676830.366617271433841
610.6059431538696330.7881136922607340.394056846130367
620.6186853002672840.7626293994654320.381314699732716
630.7697503231754470.4604993536491070.230249676824553
640.976287015211480.04742596957704060.0237129847885203
650.991361655350220.01727668929955940.00863834464977968
660.978680123450650.04263975309870020.0213198765493501
670.9638367706228630.0723264587542740.036163229377137
680.9570872879525660.08582542409486780.0429127120474339


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.03125NOK
5% type I error level150.234375NOK
10% type I error level240.375NOK