Multiple Linear Regression - Estimated Regression Equation
Q1_22[t] = + 1.61968772478699 -0.00918828791935026Q1_2[t] + 0.340656368476894Q1_3[t] + 0.356234894492118Q1_5[t] -0.159352120836570Q1_7[t] + 0.484170885364494Q1_8[t] -0.300030003511608Q1_12[t] + 0.097133273108172Q1_16[t] + 0.0248399368734786Q1_2v[t] -0.0351115015876335Q1_3v[t] + 0.331622895188286Q1_5v[t] -0.128426182123679Q1_7v[t] + 0.142269832219955Q1_8v[t] -0.0451005706686726Q1_12v[t] + 0.0428633491152994Q1_16v[t] -0.141230731472698Q1_22v[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.619687724786990.8779041.84490.0685280.034264
Q1_2-0.009188287919350260.104501-0.08790.9301430.465071
Q1_30.3406563684768940.0980873.4730.0008120.000406
Q1_50.3562348944921180.1302622.73480.0075960.003798
Q1_7-0.1593521208365700.082334-1.93540.0562630.028132
Q1_80.4841708853644940.0942735.13582e-061e-06
Q1_12-0.3000300035116080.116909-2.56640.012030.006015
Q1_160.0971332731081720.1149690.84490.400560.20028
Q1_2v0.02483993687347860.1092940.22730.8207540.410377
Q1_3v-0.03511150158763350.107443-0.32680.7446290.372315
Q1_5v0.3316228951882860.2289151.44870.1511080.075554
Q1_7v-0.1284261821236790.125192-1.02580.307880.15394
Q1_8v0.1422698322199550.1579770.90060.3703610.18518
Q1_12v-0.04510057066867260.138402-0.32590.7453270.372663
Q1_16v0.04286334911529940.1556320.27540.7836650.391833
Q1_22v-0.1412307314726980.147537-0.95730.3411530.170577


Multiple Linear Regression - Regression Statistics
Multiple R0.658977147434301
R-squared0.434250880840649
Adjusted R-squared0.334412800988998
F-TEST (value)4.34955160882404
F-TEST (DF numerator)15
F-TEST (DF denominator)85
p-value5.89831236164073e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.87092238918393
Sum Squared Residuals64.4729936784568


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
177.02510077115959-0.0251007711595910
255.54783555237797-0.547835552377967
356.0677536234044-1.06775362340440
466.01797505809933-0.0179750580993263
575.956305228974261.04369477102574
676.1793804377120.820619562287998
776.777132359960460.222867640039541
866.0307364032501-0.0307364032501016
955.5928576028722-0.592857602872204
1066.57185863205907-0.571858632059068
1176.20768972310970.792310276890294
1275.834991390422631.16500860957737
1366.32919667972098-0.329196679720977
1477.1766137258019-0.176613725801904
1565.365372872913670.634627127086326
1675.774588922288211.22541107771179
1755.42472270607947-0.42472270607947
1855.40205998770025-0.402059987700248
1976.581802636453110.418197363546885
2066.45823506137093-0.458235061370928
2165.691974897242460.308025102757538
2213.5274586067484-2.5274586067484
2376.110904615840540.889095384159459
2466.29225351175008-0.292253511750077
2576.832441071131540.16755892886846
2665.948410624766450.0515893752335524
2765.677971081883730.322028918116265
2865.905192355131110.0948076448688896
2966.03362670705345-0.0336267070534526
3055.88389040149457-0.883890401494574
3155.47653778082898-0.476537780828981
3276.360425607418580.639574392581419
3334.11480699037853-1.11480699037853
3465.329129017925490.670870982074511
3556.01244033580896-1.01244033580896
3666.51116425693954-0.51116425693954
3775.983172156153261.01682784384674
3866.00779495383096-0.00779495383096274
3955.09821386264445-0.0982138626444483
4055.63048130696828-0.630481306968277
4166.61846262526562-0.618462625265624
4276.154457575788220.845542424211778
4377.16687594170784-0.166875941707837
4455.03574347968164-0.0357434796816424
4576.132402797610860.867597202389142
4655.10009225961324-0.100092259613243
4754.744431569407510.255568430592490
4855.81703059448912-0.817030594489116
4965.987731283700640.0122687162993624
5066.26785516890419-0.267855168904186
5176.023790739558940.976209260441064
5275.183822607287621.81617739271238
5377.26004004461387-0.260040044613874
5475.98958210402131.01041789597870
5524.03936357270476-2.03936357270476
5666.46013827739038-0.460138277390379
5766.86771306664385-0.867713066643847
5866.2500319788534-0.250031978853404
5976.557215051895870.442784948104131
6055.23799128921044-0.237991289210440
6175.556772573371461.44322742662854
6265.910714287917030.0892857120829742
6366.01039560496425-0.0103956049642501
6455.04900426128738-0.0490042612873828
6565.942764565197160.0572354348028417
6677.44626638147139-0.44626638147139
6766.19641332492934-0.196413324929339
6876.968210018961680.0317899810383194
6976.221202085945660.778797914054345
7054.95882232137120.0411776786287946
7165.411253112527390.588746887472612
7276.861888457934160.138111542065842
7375.954569080555711.04543091944429
7476.064621713011280.935378286988723
7576.104633710841720.895366289158283
7674.678420656543892.32157934345611
7765.833205150163480.166794849836516
7856.62405535506921-1.62405535506921
7954.567725318603180.432274681396818
8076.949833443122980.0501665568770206
8166.17138743306102-0.171387433061018
8266.68936991494391-0.689369914943912
8366.09230677154743-0.0923067715474307
8466.27129245407138-0.271292454071381
8577.5988230436906-0.598823043690594
8666.7459773891937-0.745977389193694
8776.455035107494540.544964892505461
8856.83014836372585-1.83014836372585
8956.21007851366726-1.21007851366726
9075.971284397641521.02871560235848
9155.77700025918297-0.777000259182974
9276.451961342429970.548038657570027
9376.730398863178470.269601136821530
9455.6408353039171-0.640835303917097
9566.28937136758725-0.289371367587252
9675.832644055067361.16735594493264
9766.42118057174751-0.421180571747512
9856.36495373368526-1.36495373368526
9955.92716409210019-0.927164092100193
10075.952189983968511.04781001603149
10176.620554068289760.379445931710238


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.2988084834435590.5976169668871180.701191516556441
200.2702546441097510.5405092882195010.72974535589025
210.1553929341109840.3107858682219670.844607065889016
220.3486096078403170.6972192156806350.651390392159683
230.2753681274732430.5507362549464870.724631872526757
240.1883068237462880.3766136474925770.811693176253712
250.1461002937046620.2922005874093230.853899706295338
260.09447923921542450.1889584784308490.905520760784576
270.06297225930965120.1259445186193020.93702774069035
280.1003681060222470.2007362120444940.899631893977753
290.06716830075108110.1343366015021620.932831699248919
300.06637047239010640.1327409447802130.933629527609894
310.05093328291011740.1018665658202350.949066717089883
320.03912358033519820.07824716067039650.960876419664802
330.03345858175629250.0669171635125850.966541418243708
340.04225558241439240.08451116482878480.957744417585608
350.06110426971361860.1222085394272370.938895730286381
360.05925873001302890.1185174600260580.940741269986971
370.06058362879926010.121167257598520.93941637120074
380.05465011247566340.1093002249513270.945349887524337
390.04562692393824790.09125384787649580.954373076061752
400.07247855525484190.1449571105096840.927521444745158
410.2148910373142930.4297820746285860.785108962685707
420.19951336423420.39902672846840.8004866357658
430.1742970012388030.3485940024776050.825702998761197
440.1343352898955800.2686705797911590.86566471010442
450.1486280125739510.2972560251479030.851371987426049
460.1166107752033750.233221550406750.883389224796625
470.1317375830265970.2634751660531950.868262416973403
480.1265644646126480.2531289292252970.873435535387352
490.09738043395945810.1947608679189160.902619566040542
500.08728179385363320.1745635877072660.912718206146367
510.09464783158086480.1892956631617300.905352168419135
520.3385242155353180.6770484310706370.661475784464682
530.4086705134859310.8173410269718620.591329486514069
540.3860945274690810.7721890549381620.613905472530919
550.5371222987061110.9257554025877790.462877701293889
560.5036958754391410.9926082491217180.496304124560859
570.4832049207564550.966409841512910.516795079243545
580.4181563091044620.8363126182089240.581843690895538
590.3517467153598010.7034934307196030.648253284640199
600.2887496484097770.5774992968195540.711250351590223
610.2882831355425550.5765662710851090.711716864457445
620.2314832208530610.4629664417061220.768516779146939
630.1800762087758640.3601524175517280.819923791224136
640.1653226766710740.3306453533421480.834677323328926
650.1235454256885930.2470908513771850.876454574311407
660.09283263090443790.1856652618088760.907167369095562
670.06556269332574840.1311253866514970.934437306674252
680.05072637573906040.1014527514781210.94927362426094
690.04720616675728560.09441233351457110.952793833242714
700.0402939015662740.0805878031325480.959706098433726
710.02924037017750570.05848074035501130.970759629822494
720.02675456964014300.05350913928028610.973245430359857
730.04744952505333330.09489905010666650.952550474946667
740.0356318749204690.0712637498409380.964368125079531
750.04112019812266240.08224039624532480.958879801877338
760.1922118826605830.3844237653211660.807788117339417
770.133069110749520.266138221499040.86693088925048
780.1575017438550710.3150034877101430.842498256144929
790.1006451124288220.2012902248576440.899354887571178
800.1011447999525430.2022895999050860.898855200047457
810.06573356478867680.1314671295773540.934266435211323
820.03805565743512260.07611131487024520.961944342564877


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 level120.1875NOK