Multiple Linear Regression - Estimated Regression Equation
T40[t] = + 1.61494249797319 + 0.115450059837101Outcome[t] -0.0122952323701663t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.614942497973190.08077419.993500
Outcome0.1154500598371010.0743611.55260.1226220.061311
t-0.01229523237016630.000818-15.028900


Multiple Linear Regression - Regression Statistics
Multiple R0.779667883112199
R-squared0.607882007956657
Adjusted R-squared0.602688392168003
F-TEST (value)117.044085025444
F-TEST (DF numerator)2
F-TEST (DF denominator)151
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.449625600708225
Sum Squared Residuals30.526640302647


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
121.718097325440120.281902674559877
211.59035203323286-0.590352033232856
311.57805680086269-0.57805680086269
411.56576156849252-0.565761568492524
511.55346633612236-0.553466336122357
611.65662116358929-0.656621163589292
711.52887587138202-0.528875871382025
821.516580639011860.483419360988141
911.61973546647879-0.619735466478793
1011.49199017427153-0.491990174271526
1121.479694941901360.52030505809864
1211.46739970953119-0.467399709531194
1311.45510447716103-0.455104477161027
1421.442809244790860.557190755209139
1511.5459640722578-0.545964072257796
1621.533668839887630.466331160112371
1721.405923547680360.594076452319637
1821.39362831531020.606371684689804
1911.49678314277713-0.496783142777131
2021.484487910406960.515512089593036
2111.3567426181997-0.356742618199697
2211.45989744566663-0.459897445666632
2311.44760221329647-0.447602213296466
2411.4353069809263-0.435306980926299
2521.423011748556130.576988251443867
2611.29526645634887-0.295266456348866
2711.3984212838158-0.398421283815801
2811.27067599160853-0.270675991608534
2911.37383081907547-0.373830819075468
3011.2460855268682-0.246085526868201
3111.23379029449803-0.233790294498035
3211.22149506212787-0.221495062127869
3311.2091998297577-0.209199829757702
3421.312354657224640.687645342775363
3511.18460936501737-0.18460936501737
3611.1723141326472-0.172314132647204
3721.160018900277040.839981099722962
3811.26317372774397-0.263173727743972
3911.25087849537381-0.250878495373806
4021.123133203166540.876866796833461
4111.22628803063347-0.226288030633473
4211.21399279826331-0.213992798263307
4311.20169756589314-0.201697565893141
4421.073952273685870.926047726314126
4511.06165704131571-0.0616570413157074
4611.16481186878264-0.164811868782642
4711.03706657657537-0.0370665765753749
4811.14022140404231-0.140221404042309
4911.12792617167214-0.127926171672143
5011.00018087946488-0.000180879464876149
5120.987885647094711.01211435290529
5220.9755904147245441.02440958527546
5311.07874524219148-0.0787452421914781
5410.9509999499842110.0490000500157889
5510.9387047176140450.0612952823859551
5621.041859545080980.958140454919021
5711.02956431271081-0.0295643127108131
5811.01726908034065-0.0172690803406469
5911.00497384797048-0.00497384797048063
6020.9926786156003141.00732138439969
6120.9803833832301481.01961661676985
6210.8526380910228810.147361908977119
6310.8403428586527150.159657141347285
6420.9434976861196491.05650231388035
6510.8157523939123820.184247606087618
6610.8034571615422160.196542838457784
6720.791161929172051.20883807082795
6810.7788666968018840.221133303198116
6910.8820215242688180.117978475731182
7010.7542762320615510.245723767938449
7110.7419809996913850.258019000308615
7210.8451358271583190.154864172841681
7310.8328405947881530.167159405211847
7410.7050953025808860.294904697419114
7510.8082501300478210.191749869952179
7620.7959548976776541.20404510232235
7710.7836596653074880.216340334692512
7810.7713644329373220.228635567062678
7920.7590692005671561.24093079943284
8020.6313239083598891.36867609164011
8110.6190286759897220.380971324010278
8210.7221835034566570.277816496543343
8310.594438211249390.40556178875061
8410.5821429788792240.417857021120776
8510.6852978063461580.314702193653842
8610.5575525141388910.442447485861109
8700.660707341605826-0.660707341605826
8800.648412109235659-0.648412109235659
8900.520666817028392-0.520666817028392
9000.623821644495327-0.623821644495327
9100.49607635228806-0.49607635228806
9200.483781119917894-0.483781119917894
9300.471485887547727-0.471485887547727
9400.459190655177561-0.459190655177561
9500.446895422807395-0.446895422807395
9600.550050250274329-0.550050250274329
9700.422304958067062-0.422304958067062
9800.410009725696896-0.410009725696896
9900.39771449332673-0.39771449332673
10000.500869320793664-0.500869320793664
10100.488574088423498-0.488574088423498
10200.360828796216231-0.360828796216231
10300.348533563846065-0.348533563846065
10400.336238331475899-0.336238331475899
10500.323943099105732-0.323943099105732
10600.311647866735566-0.311647866735566
10700.2993526343654-0.2993526343654
10800.287057401995234-0.287057401995234
10900.274762169625067-0.274762169625067
11000.262466937254901-0.262466937254901
11100.250171704884735-0.250171704884735
11200.237876472514569-0.237876472514569
11300.225581240144402-0.225581240144402
11400.213286007774236-0.213286007774236
11500.20099077540407-0.20099077540407
11600.188695543033904-0.188695543033904
11700.291850370500838-0.291850370500838
11800.164105078293571-0.164105078293571
11900.151809845923405-0.151809845923405
12000.254964673390339-0.254964673390339
12100.127219381183072-0.127219381183072
12200.114924148812906-0.114924148812906
12300.10262891644274-0.10262891644274
12400.205783743909674-0.205783743909674
12500.193488511539508-0.193488511539508
12600.065743219332241-0.065743219332241
12700.0534479869620748-0.0534479869620748
12800.156602814429009-0.156602814429009
12900.0288575222217424-0.0288575222217424
13000.132012349688677-0.132012349688677
13100.00426705748140985-0.00426705748140985
13200.107421884948344-0.107421884948344
1330-0.02032340725892270.0203234072589227
1340-0.03261863962908890.0326186396290889
1350-0.04491387199925520.0449138719992552
1360-0.05720910436942140.0572091043694214
13700.0459457230975131-0.0459457230975131
13800.0336504907273469-0.0336504907273469
1390-0.09409480147992020.0940948014799202
1400-0.1063900338500860.106390033850086
1410-0.003235206383151870.00323520638315187
1420-0.01553043875331810.0155304387533181
1430-0.1432757309605850.143275730960585
1440-0.04012090349365060.0401209034936506
1450-0.1678661957009180.167866195700918
1460-0.06471136823398320.0647113682339832
1470-0.192456660441250.19245666044125
1480-0.2047518928114160.204751892811416
1490-0.2170471251815830.217047125181583
1500-0.1138922977146480.113892297714648
1510-0.1261875300848140.126187530084814
1520-0.2539328222920810.253932822292081
1530-0.2662280546622480.266228054662248
1540-0.2785232870324140.278523287032414


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.1333866052195080.2667732104390160.866613394780492
70.1544854541485530.3089709082971050.845514545851447
80.7543670744155340.4912658511689310.245632925584466
90.7264962706947420.5470074586105150.273503729305258
100.6336422764644010.7327154470711970.366357723535599
110.7896002962481010.4207994075037970.210399703751899
120.7511853484065970.4976293031868060.248814651593403
130.698652486475490.602695027049020.30134751352451
140.7789440441487290.4421119117025420.221055955851271
150.7690100362610550.4619799274778890.230989963738945
160.7905240337878020.4189519324243950.209475966212198
170.790355947660040.419288104679920.20964405233996
180.7663273247332190.4673453505335620.233672675266781
190.8141225600817390.3717548798365230.185877439918261
200.7963885895645060.4072228208709870.203611410435494
210.8369919621346130.3260160757307750.163008037865387
220.8553552559194420.2892894881611170.144644744080558
230.8582047630324440.2835904739351120.141795236967556
240.8528446729171850.294310654165630.147155327082815
250.8678512964377110.2642974071245770.132148703562289
260.8680644523613280.2638710952773450.131935547638672
270.8631267320277650.2737465359444690.136873267972235
280.8497629520370880.3004740959258240.150237047962912
290.8372397691609040.3255204616781920.162760230839096
300.815115612876670.3697687742466590.18488438712333
310.7886882364707180.4226235270585640.211311763529282
320.7587488337618820.4825023324762370.241251166238118
330.7259368815491510.5481262369016980.274063118450849
340.7909289841156030.4181420317687950.209071015884397
350.7624415718540810.4751168562918390.237558428145919
360.7313720674384430.5372558651231130.268627932561557
370.813093382274530.373813235450940.18690661772547
380.7990708237824480.4018583524351030.200929176217552
390.781884195431520.436231609136960.21811580456848
400.8435828278494470.3128343443011060.156417172150553
410.8295462986446580.3409074027106850.170453701355342
420.813231939368020.373536121263960.18676806063198
430.7949834855302690.4100330289394620.205016514469731
440.8512864789971080.2974270420057840.148713521002892
450.8330734716131430.3338530567737140.166926528386857
460.8154435684867110.3691128630265780.184556431513289
470.791680239090810.4166395218183810.20831976090919
480.7698129360966230.4603741278067540.230187063903377
490.7464116011902120.5071767976195770.253588398809789
500.7150495639885820.5699008720228360.284950436011418
510.80072546508050.3985490698390.1992745349195
520.8628472168634530.2743055662730940.137152783136547
530.8451449786051880.3097100427896230.154855021394812
540.8243379929412180.3513240141175640.175662007058782
550.8000619488784420.3998761022431160.199938051121558
560.8639082686002460.2721834627995080.136091731399754
570.8446305721827990.3107388556344010.155369427817201
580.8228749161883340.3542501676233330.177125083811666
590.7986236270010990.4027527459978020.201376372998901
600.866357100458830.2672857990823410.13364289954117
610.9164507116869180.1670985766261650.0835492883130824
620.9027668127403690.1944663745192610.0972331872596307
630.8864911464499810.2270177071000390.113508853550019
640.937134263472010.1257314730559790.0628657365279896
650.9259075819807240.1481848360385520.074092418019276
660.9127702417735150.1744595164529710.0872297582264853
670.9693528312171050.06129433756579060.0306471687828953
680.9642893318841280.07142133623174490.0357106681158724
690.9569083735310260.08618325293794750.0430916264689737
700.9504655792617540.0990688414764910.0495344207382455
710.943663028592510.112673942814980.0563369714074902
720.9330396498670310.1339207002659390.0669603501329693
730.921026413485470.1579471730290610.0789735865145303
740.9133353395292380.1733293209415240.0866646604707618
750.899763433148270.2004731337034610.10023656685173
760.9791553861524230.04168922769515340.0208446138475767
770.9773923589633910.04521528207321710.0226076410366085
780.976341600596060.04731679880787970.0236583994039398
790.9993569479271870.001286104145625390.000643052072812694
800.9999999034023111.93195377305426e-079.65976886527132e-08
810.999999989584192.08316209649853e-081.04158104824927e-08
820.9999999994662171.06756542924732e-095.33782714623658e-10
830.9999999999956798.64155419872517e-124.32077709936259e-12
840.9999999999999992.27305911642344e-151.13652955821172e-15
8511.41998955524708e-227.09994777623541e-23
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level700.48951048951049NOK
5% type I error level730.510489510489511NOK
10% type I error level770.538461538461538NOK