Multiple Linear Regression - Estimated Regression Equation
Q1_2[t] = + 0.683448246864695 + 0.198926748843929Q1_3[t] -0.0928214103551924Q1_5[t] + 0.0904997968487101Q1_7[t] -0.075972113093604Q1_8[t] + 0.116383027938451Q1_12[t] + 0.580006004424285Q1_16[t] -0.00989775749926517Q1_22[t] + 0.124131261356080Q1_2v[t] -0.261297359223972Q1_3v[t] + 0.227200441858429Q1_5v[t] -0.128064165925015Q1_7v[t] + 0.308882429796853Q1_8v[t] -0.158991872319213Q1_12v[t] + 0.0889780949233021Q1_16v[t] -0.102927253819690Q1_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)0.6834482468646950.9262710.73780.4626380.231319
Q1_30.1989267488439290.1066261.86570.0655390.032769
Q1_5-0.09282141035519240.14066-0.65990.5111020.255551
Q1_70.09049979684871010.0867631.04310.2998750.149938
Q1_8-0.0759721130936040.111699-0.68020.4982570.249129
Q1_120.1163830279384510.1253180.92870.3556720.177836
Q1_160.5800060044242850.1019825.687300
Q1_22-0.009897757499265170.11257-0.08790.9301430.465071
Q1_2v0.1241312613560800.1126681.10170.2736810.136841
Q1_3v-0.2612973592239720.107925-2.42110.0176010.008801
Q1_5v0.2272004418584290.2392370.94970.3449640.172482
Q1_7v-0.1280641659250150.129997-0.98510.3273560.163678
Q1_8v0.3088824297968530.1613011.91490.0588620.029431
Q1_12v-0.1589918723192130.142698-1.11420.2683390.13417
Q1_16v0.08897809492330210.1613120.55160.5826760.291338
Q1_22v-0.1029272538196900.153545-0.67030.5044590.252229


Multiple Linear Regression - Regression Statistics
Multiple R0.673124912686542
R-squared0.453097148079265
Adjusted R-squared0.356584880093253
F-TEST (value)4.69471039831883
F-TEST (DF numerator)15
F-TEST (DF denominator)85
p-value1.81266670795655e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.90392117898313
Sum Squared Residuals69.4512473142114


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
176.558704710353650.441295289646353
255.20280688402397-0.202806884023974
364.619775372521051.38022462747895
455.0896922847082-0.0896922847081988
565.923463056852770.0765369431472323
665.114060656032780.885939343967223
765.636958940604450.363041059395548
865.333384896877180.66661510312282
943.921909726610160.07809027338984
1065.502363749094220.497636250905775
1166.11138431853196-0.111384318531962
1233.50548105551907-0.505481055519066
1355.59298873631076-0.592988736310762
1455.24413792494949-0.244137924949490
1523.09630144067017-1.09630144067017
1635.22552251065442-2.22552251065442
1765.461132669779660.538867330220338
1866.15542426851204-0.155424268512041
1954.952683022678970.0473169773210339
2075.59707835872631.40292164127370
2155.2682410732817-0.268241073281701
2255.2148943607927-0.214894360792697
2355.16219315114779-0.162193151147789
2456.32908536327162-1.32908536327162
2555.69927039284263-0.699270392842633
2665.481580076191310.518419923808686
2755.02987609146532-0.0298760914653231
2854.195367473799870.804632526200128
2965.213823546064280.786176453935721
3044.1546369894868-0.154636989486803
3144.94180722238501-0.941807222385013
3264.927339977437471.07266002256253
3333.03556652955895-0.0355665295589454
3464.958001709593531.04199829040647
3554.292158770753940.707841229246058
3666.12563144103092-0.125631441030924
3775.29648131631991.70351868368010
3844.59423748477401-0.594237484774013
3954.489438735213160.510561264786845
4044.89315052491175-0.893150524911754
4154.858346394320.141653605679998
4234.85705273681687-1.85705273681687
4355.01173793183049-0.0117379318304941
4465.978385569120850.021614430879145
4565.915357666118320.0846423338816765
4644.14414985171917-0.144149851719168
4744.29273383980916-0.292733839809155
4865.084704306851830.915295693148168
4965.84601164078080.153988359219196
5055.0012968806686-0.00129688066859569
5166.00876467935651-0.00876467935650707
5243.746788792654090.253211207345913
5344.73897302711348-0.738973027113485
5455.13605548000944-0.136055480009441
5534.07988695643614-1.07988695643614
5666.0055067618141-0.0055067618141013
5765.673514568083060.326485431916937
5844.20304535869686-0.203045358696862
5954.720930318842910.279069681157086
6054.774500006497790.225499993502207
6145.18469068820968-1.18469068820968
6265.094156281449660.905843718550336
6355.79742881096996-0.797428810969963
6444.85526770443865-0.855267704438649
6564.669864103168921.33013589683108
6655.92044923057021-0.920449230570208
6765.408385941592280.591614058407717
6856.19194862111634-1.19194862111634
6965.529398895786580.470601104213425
7054.700795375161830.299204624838168
7144.05848111772794-0.0584811177279371
7265.611942616692050.388057383307947
7353.49763272331461.5023672766854
7455.18323680512411-0.183236805124113
7533.96240861283944-0.96240861283944
7654.992537778234510.0074622217654881
7744.65301480590733-0.653014805907328
7854.654956487463360.345043512536640
7953.281630758525551.71836924147445
8076.191948621116340.808051378883662
8175.223986876503461.77601312349654
8254.201684522131250.798315477868746
8343.980187391127850.0198126088721492
8465.367330993416570.632669006583427
8554.89341702672390.106582973276100
8655.35597544608194-0.355975446081937
8744.57286602021234-0.572866020212344
8855.07529374484956-0.075293744849557
8923.42809714193190-1.42809714193190
9075.896475134748441.10352486525156
9144.63935094582333-0.639350945823334
9254.768393297664870.23160670233513
9355.63782584778179-0.637825847781794
9476.164761613458150.835238386541853
9525.43194755917554-3.43194755917554
9643.925835214061470.0741647859385272
9765.764106633219510.23589336678049
9855.32778390224284-0.327783902242838
9954.548851148974620.451148851025376
10044.71345469906492-0.713454699064917
10144.41641927952197-0.416419279521968


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.5289245606111650.942150878777670.471075439388835
200.4257719336642310.8515438673284620.574228066335769
210.4618119030163530.9236238060327060.538188096983647
220.3709452473800060.7418904947600130.629054752619994
230.2659450772071210.5318901544142410.73405492279288
240.2804636111337870.5609272222675740.719536388866213
250.2284211227402080.4568422454804160.771578877259792
260.1613666733344230.3227333466688460.838633326665577
270.1141060681969470.2282121363938950.885893931803053
280.1635964512997200.3271929025994390.83640354870028
290.1446866789244670.2893733578489340.855313321075533
300.1401563468368360.2803126936736710.859843653163164
310.3245579838664810.6491159677329610.675442016133519
320.2842798836721470.5685597673442930.715720116327853
330.219630825308620.439261650617240.78036917469138
340.2509240361011140.5018480722022280.749075963898886
350.2174689807351260.4349379614702510.782531019264874
360.1657463896782560.3314927793565110.834253610321744
370.2674830227112060.5349660454224120.732516977288794
380.552801685997520.894396628004960.44719831400248
390.5267455073774470.9465089852451070.473254492622553
400.526901028991240.946197942017520.47309897100876
410.455464180975610.910928361951220.54453581902439
420.5784724706145840.8430550587708330.421527529385416
430.5089811786246330.9820376427507340.491018821375367
440.4452933573630880.8905867147261750.554706642636912
450.3926648335240620.7853296670481250.607335166475938
460.3334758556740660.6669517113481320.666524144325934
470.2760285793257210.5520571586514420.723971420674279
480.2749923054433090.5499846108866180.725007694556691
490.220618926719510.441237853439020.77938107328049
500.1876959338707640.3753918677415280.812304066129236
510.1473170730270140.2946341460540290.852682926972986
520.1249880263243150.2499760526486290.875011973675685
530.1119106263804830.2238212527609650.888089373619517
540.0831148251047170.1662296502094340.916885174895283
550.1159391853078010.2318783706156020.884060814692199
560.08682063781467910.1736412756293580.91317936218532
570.06251099612379680.1250219922475940.937489003876203
580.04593917345018220.09187834690036440.954060826549818
590.03262051016807750.0652410203361550.967379489831923
600.02176437550857430.04352875101714860.978235624491426
610.01944936291129350.03889872582258710.980550637088706
620.01490795175882950.02981590351765900.98509204824117
630.01136506139674550.02273012279349100.988634938603254
640.01142006359739340.02284012719478690.988579936402607
650.01573003314180380.03146006628360760.984269966858196
660.01388071426030250.02776142852060490.986119285739698
670.01025522691575750.02051045383151490.989744773084243
680.01054407729316980.02108815458633970.98945592270683
690.00718796094011970.01437592188023940.99281203905988
700.00440951610969230.00881903221938460.995590483890308
710.002494227953836190.004988455907672370.997505772046164
720.001533164853472920.003066329706945840.998466835146527
730.003535054917919120.007070109835838240.99646494508208
740.001948071354513260.003896142709026530.998051928645487
750.001412720429518110.002825440859036230.998587279570482
760.0006845047610693710.001369009522138740.99931549523893
770.0004244825301909740.0008489650603819490.999575517469809
780.0002006093050272820.0004012186100545640.999799390694973
790.0007029230251257640.001405846050251530.999297076974874
800.0003737418109946020.0007474836219892050.999626258189005
810.001006575444997650.002013150889995310.998993424555002
820.0005887961518047180.001177592303609440.999411203848195


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level130.203125NOK
5% type I error level230.359375NOK
10% type I error level250.390625NOK