Multiple Linear Regression - Estimated Regression Equation
dzcg[t] = + 77.4426660376957 + 0.756479459281622totid[t] -0.720234730937658ndzcg[t] + 0.27624207061515`indc `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)77.442666037695716.1986684.78081.3e-056e-06
totid0.7564794592816220.1613724.68781.8e-059e-06
ndzcg-0.7202347309376580.196732-3.6610.0005510.000276
`indc `0.276242070615150.0850933.24630.001960.00098


Multiple Linear Regression - Regression Statistics
Multiple R0.76256897325449
R-squared0.581511438970407
Adjusted R-squared0.559485725232007
F-TEST (value)26.4014799192000
F-TEST (DF numerator)3
F-TEST (DF denominator)57
p-value7.78024311642866e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.77517882779633
Sum Squared Residuals812.362585364977


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
180.272.98507871295287.21492128704717
274.872.5539162776472.24608372235302
377.873.64416338929994.15583661070009
47371.7638381595991.23616184040094
57271.58786022096620.412139779033817
675.871.67293719854674.12706280145334
772.674.5278155493923-1.92781554939228
871.970.69107058512231.20892941487774
974.871.53137890318923.26862109681083
1072.969.0354626711543.86453732884602
1172.973.3744810012893-0.47448100128933
1279.970.9368454747978.96315452520301
137471.51710429132162.48289570867836
147671.83926282605724.16073717394284
1569.671.9349705180167-2.33497051801672
1677.375.69895631006031.60104368993966
1775.281.1016951953495-5.90169519534949
1875.873.15351856572442.64648143427558
1977.672.88935159633924.71064840366075
2076.772.06736191054.63263808949998
217773.99674266890753.00325733109253
2277.975.18582895034592.71417104965416
2376.774.24905781653272.45094218346728
2471.973.8055775758728-1.90557757587277
2573.472.85810986695810.541890133041872
2672.573.277197201034-0.777197201034032
2773.770.85263460368242.84736539631758
2869.574.0465068853323-4.54650688533229
2974.777.7472089728702-3.04720897287022
3072.576.1682738441552-3.66827384415522
3172.175.8622808670782-3.76228086707825
3270.776.3166345262414-5.61663452624137
3371.476.0725467275416-4.67254672754162
3469.574.2055177064516-4.70551770645156
3573.573.34221443258310.157785567416899
3672.472.5821105004671-0.182110500467078
3774.573.66873313928560.831266860714366
3872.273.492131798311-1.29213179831098
397375.184627267619-2.18462726761905
4073.372.84605419038220.453945809617794
4171.373.5338919452803-2.23389194528035
4273.677.2338583336857-3.63385833368568
4371.375.9454398874533-4.64543988745333
4471.272.5821763611895-1.38217636118951
4581.471.178147895713910.2218521042861
4676.174.29430444224291.80569555775710
4771.171.2523978908595-0.152397890859551
4875.771.9919566686963.70804333130403
497070.8909019992623-0.890901999262271
5068.566.18164800894152.31835199105846
5156.764.3223803531828-7.62238035318283
5257.964.7160769527639-6.81607695276391
5358.860.7405771814617-1.94057718146172
5459.362.4582671172089-3.1582671172089
5561.363.3201260042265-2.02012600422649
5662.963.8503508887878-0.950350888787848
5761.462.4908679480644-1.09086794806443
5864.563.30389458584551.19610541415449
5963.865.5733135390363-1.77331353903634
6061.665.7142019959836-4.11420199598363
6164.764.45816110113680.241838898863238


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.3308831406611230.6617662813222450.669116859338877
80.3066152514449000.6132305028898010.6933847485551
90.1907559801422930.3815119602845860.809244019857707
100.1127613851570020.2255227703140030.887238614842998
110.1191164970954820.2382329941909640.880883502904518
120.2603164566124870.5206329132249750.739683543387513
130.1917435325482350.383487065096470.808256467451765
140.1522173888011540.3044347776023090.847782611198846
150.1306831801562040.2613663603124090.869316819843796
160.0947300885791760.1894601771583520.905269911420824
170.06398686059753540.1279737211950710.936013139402465
180.05000273310454070.1000054662090810.94999726689546
190.0557252229222470.1114504458444940.944274777077753
200.0578144247515710.1156288495031420.94218557524843
210.05386054290908550.1077210858181710.946139457090915
220.0522986750624810.1045973501249620.94770132493752
230.05366576738022340.1073315347604470.946334232619777
240.07068027890689120.1413605578137820.929319721093109
250.05380550973563030.1076110194712610.94619449026437
260.05493600833101470.1098720166620290.945063991668985
270.0968295054242120.1936590108484240.903170494575788
280.2084672678275130.4169345356550270.791532732172487
290.1772055020301190.3544110040602390.82279449796988
300.1810635366263340.3621270732526670.818936463373666
310.1519575228292560.3039150456585120.848042477170744
320.2067694861970140.4135389723940290.793230513802986
330.2097592294750180.4195184589500360.790240770524982
340.3136844118080840.6273688236161690.686315588191916
350.2508880635433530.5017761270867070.749111936456647
360.2055499944850810.4110999889701620.794450005514919
370.1560343056554740.3120686113109480.843965694344526
380.1465307622405310.2930615244810630.853469237759469
390.1103202432503380.2206404865006750.889679756749662
400.07891873865111970.1578374773022390.92108126134888
410.06928741552261420.1385748310452280.930712584477386
420.08075065594525650.1615013118905130.919249344054744
430.2844103190870840.5688206381741680.715589680912916
440.2786576421131150.557315284226230.721342357886885
450.4255236033059330.8510472066118650.574476396694067
460.3593916235159590.7187832470319190.64060837648404
470.3542591172677090.7085182345354180.645740882732291
480.2817161158786980.5634322317573950.718283884121302
490.2829764246447320.5659528492894640.717023575355268
500.9524238033220370.09515239335592610.0475761966779631
510.965565660961020.06886867807796180.0344343390389809
520.9605508150895720.07889836982085510.0394491849104276
530.9298234595126420.1403530809747170.0701765404873585
540.886131710609930.227736578780140.11386828939007


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 level30.0625OK