Multiple Linear Regression - Estimated Regression Equation
Parental.Expectations[t] = -10.7203715104562 + 1.67214624631751Month[t] + 0.0839950133200945Concern.over.Mistakes[t] -0.127162346021620Doubts.about.actions[t] + 0.675005667880218Parental.Criticism[t] + 0.122931469316262Personal.Standards[t] -0.0806109913942159Organization[t] + 0.000183508410492625t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-10.720371510456211.994434-0.89380.3728630.186431
Month1.672146246317511.195751.39840.1640410.08202
Concern.over.Mistakes0.08399501332009450.0483331.73790.0842760.042138
Doubts.about.actions-0.1271623460216200.087187-1.45850.1467810.073391
Parental.Criticism0.6750056678802180.086517.802600
Personal.Standards0.1229314693162620.0633411.94080.0541470.027074
Organization-0.08061099139421590.063121-1.27710.2035340.101767
t0.0001835084104926250.0050640.03620.9711420.485571


Multiple Linear Regression - Regression Statistics
Multiple R0.644910701893747
R-squared0.415909813417085
Adjusted R-squared0.388832784899996
F-TEST (value)15.3602457948662
F-TEST (DF numerator)7
F-TEST (DF denominator)151
p-value4.32986979603811e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.69358099715557
Sum Squared Residuals1095.56216682387


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11113.5192731920947-2.51927319209472
2711.6496805238682-4.6496805238682
31712.06715101961894.93284898038108
41010.1973312855293-0.197331285529335
51212.0724082194322-0.0724082194321785
6129.494155759456642.50584424054336
71110.16868693735000.831313062649986
81114.5073487485644-3.50734874856437
91210.52148807469431.47851192530570
101311.32338120297521.67661879702480
111414.7829864914258-0.782986491425795
121614.63195205170341.36804794829657
131113.7386500081178-2.73865000811783
141012.1474061391567-2.14740613915671
151112.3190102990829-1.31901029908286
161510.26538244706334.73461755293671
17913.7909682692200-4.79096826922004
181112.400774552475-1.40077455247500
191712.16204731740534.83795268259475
201715.46860000262111.53139999737894
211113.5750187845749-2.5750187845749
221815.22076442872662.77923557127344
231416.0426865918609-2.04268659186087
241012.5878267118584-2.58782671185842
251111.8043650801541-0.804365080154082
261513.30029462807501.69970537192498
271511.73014177873613.26985822126386
281313.1017484882098-0.101748488209810
291613.88119534791592.11880465208408
301311.19052384745281.80947615254724
31911.5366385626658-2.53663856266579
321818.1338861133562-0.133886113356170
331812.28127437482655.71872562517346
341213.7334787119315-1.73347871193151
351713.74647478388313.25352521611690
36912.1801009865970-3.18010098659698
37913.0996037346963-4.09960373469627
38128.756823416237673.24317658376233
391816.93884739945681.06115260054315
401213.0183579531476-1.01835795314763
411814.19214247872763.80785752127238
421414.0065124265686-0.00651242656858649
431511.99996765368333.00003234631672
441610.88688170526825.11311829473177
451013.1598363805743-3.1598363805743
461111.5869093316551-0.586909331655076
471412.93750260314491.06249739685507
48913.0506391836234-4.05063918362344
491213.7935940647809-1.79359406478086
501712.26737442409254.73262557590748
5159.75250536396423-4.75250536396423
521212.4250249208537-0.425024920853655
531212.0206606749896-0.0206606749895912
5469.42619032623413-3.42619032623413
552422.92158312929351.07841687070647
561212.5548091279476-0.554809127947605
571213.0075845425635-1.00758454256354
581411.64929835899492.35070164100508
5979.2771289240683-2.27712892406830
601311.11190650466741.88809349533261
611213.3058705676628-1.30587056766278
621311.57046577108561.42953422891441
631411.5008962631162.49910373688399
64812.9623777135221-4.96237771352209
65119.438019126728721.56198087327128
66911.8178462342350-2.81784623423502
671113.7698065355102-2.76980653551015
681313.4913778588218-0.491377858821848
69109.487054794077520.512945205922478
701112.7531082927103-1.7531082927103
711212.7589089054675-0.758908905467533
72911.9182954258976-2.9182954258976
731514.68819125830450.311808741695511
741814.94152410994323.0584758900568
751512.16230927096612.83769072903386
761212.8411433481507-0.841143348150716
77139.943203507252743.05679649274726
781413.09823127861840.901768721381636
791011.9752956048536-1.97529560485363
801312.31872512179820.681274878201805
811313.8144142400931-0.814414240093145
821112.1590693511798-1.15906935117982
831312.21657072763030.783429272369743
841614.56778677567671.43221322432329
8589.70253111843646-1.70253111843646
861611.63098741753104.36901258246903
871111.1459107521002-0.145910752100214
88911.3866424352244-2.38664243522445
891617.8391226331453-1.83912263314527
901211.46393233678820.536067663211767
911411.97660424805052.02339575194953
92810.6731802604061-2.67318026040613
9399.57410215748894-0.574102157488939
941511.73691408048583.26308591951421
951113.6250891574027-2.62508915740272
962117.28891896926633.71108103073375
971413.22947622682170.77052377317829
981815.79061771587442.20938228412561
991211.71567772782050.284322272179452
1001312.67691158083840.323088419161647
1011514.56453680212230.435463197877748
1021211.08249869325090.917501306749067
1031914.47434167402694.52565832597313
1041514.07296302276980.92703697723024
1051113.0429391125752-2.04293911257523
1061110.59584377979510.404156220204941
1071012.3347421333432-2.33474213334316
1081314.7689187914377-1.76891879143766
1091514.77741971052390.222580289476144
110129.870094487758672.12990551224133
1111211.01056820037090.9894317996291
1121615.73437616827790.265623831722135
113915.5316216970419-6.53162169704191
1141817.58902674141590.410973258584075
115815.1511976184637-7.15119761846366
1161310.37092477486602.62907522513404
1171714.20027081012782.79972918987216
118911.0289289224772-2.02892892247722
1191513.18741048468571.8125895153143
12089.55441530664951-1.55441530664951
121711.1831641135043-4.18316411350431
1221211.32572215027300.674277849727017
1231415.0580201790477-1.05802017904769
124610.7598610359995-4.75986103599955
125810.1221506439949-2.12215064399493
1261712.43288086922134.56711913077873
127109.736874155497330.263125844502671
1281112.5602093198084-1.56020931980840
1291412.82577640753181.17422359246825
1301113.5974984017525-2.59749840175249
1311315.3986548064744-2.39865480647444
1321211.89889119465420.101108805345784
1331110.41551804098690.584481959013099
13499.41103884182004-0.411038841820042
1351212.0310324576761-0.0310324576761144
1362014.72964101493955.27035898506052
1371210.65854344284301.34145655715705
1381313.6210461793078-0.621046179307752
1391213.1591631531483-1.15916315314826
1401216.4919630614362-4.49196306143619
141914.5404641195754-5.54046411957543
1421515.5626788726532-0.562678872653223
1432421.53850443010262.46149556989742
14479.90590165480888-2.90590165480888
1451714.61752878396492.38247121603512
1461111.8636609159468-0.86366091594679
1471715.10417989512801.89582010487197
1481112.2580700525978-1.25807005259778
1491212.4843156207690-0.484315620768967
1501414.4556749764050-0.455674976404969
1511114.3163919694258-3.31639196942581
1521612.76198388090133.23801611909870
1532113.77452597435097.22547402564915
1541412.15118045434191.84881954565809
1552016.42385833465813.57614166534192
1561311.00607348201451.99392651798552
1571113.017226114997-2.01722611499701
1581513.90597226942491.09402773057510
1591917.87722250313981.12277749686019


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.6586587558789060.6826824882421870.341341244121094
120.5490776159068450.901844768186310.450922384093155
130.4264965738315520.8529931476631030.573503426168448
140.6006339398993250.798732120201350.399366060100675
150.7197084856523660.5605830286952680.280291514347634
160.6438287130863070.7123425738273860.356171286913693
170.7405565805428590.5188868389142830.259443419457141
180.665132587319710.669734825360580.33486741268029
190.7201819303002990.5596361393994020.279818069699701
200.6785187950610710.6429624098778580.321481204938929
210.7017831730099880.5964336539800250.298216826990012
220.7119441194557680.5761117610884630.288055880544232
230.6628299220881420.6743401558237160.337170077911858
240.7418158067834230.5163683864331530.258184193216577
250.7119035249029440.5761929501941120.288096475097056
260.6567277351105420.6865445297789160.343272264889458
270.6081824525741990.7836350948516030.391817547425801
280.5440327825072380.9119344349855230.455967217492762
290.4857764574496060.9715529148992130.514223542550394
300.4250273057824380.8500546115648760.574972694217562
310.5759146182667440.8481707634665130.424085381733256
320.5228264093577540.9543471812844920.477173590642246
330.5570047322424120.8859905355151770.442995267757588
340.666110276884410.667779446231180.33388972311559
350.6509332861156430.6981334277687140.349066713884357
360.7231490129625290.5537019740749420.276850987037471
370.7904013052934450.4191973894131100.209598694706555
380.7734244920966410.4531510158067180.226575507903359
390.7451883042250580.5096233915498830.254811695774942
400.7218893344888050.5562213310223910.278110665511195
410.7592428619153790.4815142761692430.240757138084621
420.720686637051950.55862672589610.27931336294805
430.7048440327216760.5903119345566490.295155967278324
440.7453133883317340.5093732233365320.254686611668266
450.8151376532570310.3697246934859380.184862346742969
460.7999073139620980.4001853720758050.200092686037902
470.762943959149190.4741120817016190.237056040850809
480.8076550806761670.3846898386476670.192344919323833
490.7862332396069650.4275335207860690.213766760393035
500.8381432845132060.3237134309735880.161856715486794
510.9010291377906750.1979417244186490.0989708622093247
520.882767432809810.2344651343803790.117232567190190
530.8567870474430880.2864259051138240.143212952556912
540.8860587727159880.2278824545680240.113941227284012
550.8638180889455840.2723638221088330.136181911054416
560.8357324688891290.3285350622217420.164267531110871
570.8100396090225950.379920781954810.189960390977405
580.7988142259452120.4023715481095760.201185774054788
590.8007696741692960.3984606516614080.199230325830704
600.7814825319164630.4370349361670740.218517468083537
610.7572950387479820.4854099225040350.242704961252018
620.7320250746849610.5359498506300770.267974925315039
630.7264162592472620.5471674815054760.273583740752738
640.8172955478426040.3654089043147910.182704452157396
650.798701746038640.4025965079227200.201298253961360
660.7915471958048910.4169056083902180.208452804195109
670.7873407850949520.4253184298100960.212659214905048
680.753046613478960.493906773042080.24695338652104
690.7229229884556940.5541540230886120.277077011544306
700.693624268696030.612751462607940.30637573130397
710.6658624291667320.6682751416665370.334137570833268
720.6623850603075920.6752298793848160.337614939692408
730.6316582940280410.7366834119439180.368341705971959
740.6640974875673070.6718050248653860.335902512432693
750.6765490256370780.6469019487258440.323450974362922
760.6374356249767220.7251287500465560.362564375023278
770.6702650173408820.6594699653182350.329734982659118
780.6339272719761220.7321454560477560.366072728023878
790.6074925155820310.7850149688359380.392507484417969
800.567550064765150.86489987046970.43244993523485
810.5226314704290640.9547370591418710.477368529570936
820.4851035983444010.9702071966888010.514896401655599
830.4442708651268320.8885417302536640.555729134873168
840.4127513089696730.8255026179393460.587248691030327
850.3823112611315860.7646225222631710.617688738868414
860.4667196737644920.9334393475289830.533280326235508
870.4218084827839230.8436169655678470.578191517216077
880.402884843412740.805769686825480.59711515658726
890.3786271902203810.7572543804407610.62137280977962
900.3365129124126010.6730258248252030.663487087587399
910.3211736824242680.6423473648485360.678826317575732
920.3147345791162510.6294691582325020.685265420883749
930.2740809957934470.5481619915868950.725919004206553
940.2978233901237590.5956467802475170.702176609876241
950.2918316633181950.583663326636390.708168336681805
960.3265834008028390.6531668016056790.673416599197161
970.2892277276930720.5784554553861450.710772272306928
980.271286586975950.54257317395190.72871341302405
990.2333286528114510.4666573056229030.766671347188549
1000.1980739021046150.396147804209230.801926097895385
1010.1678103689900860.3356207379801720.832189631009914
1020.1461978812874390.2923957625748770.853802118712561
1030.2164640742953970.4329281485907940.783535925704603
1040.1949274151486860.3898548302973730.805072584851314
1050.1737669837015490.3475339674030980.826233016298451
1060.1484527601881240.2969055203762490.851547239811876
1070.1368555043026700.2737110086053390.86314449569733
1080.1197936287532190.2395872575064370.880206371246781
1090.0977258695950770.1954517391901540.902274130404923
1100.09959940734928110.1991988146985620.900400592650719
1110.08860832648395680.1772166529679140.911391673516043
1120.07048582653641070.1409716530728210.92951417346359
1130.1746639185016960.3493278370033930.825336081498304
1140.1526608296537940.3053216593075870.847339170346206
1150.3391872165287380.6783744330574750.660812783471262
1160.3477801381892780.6955602763785560.652219861810722
1170.4022268031290210.8044536062580410.59777319687098
1180.3598855599141510.7197711198283020.640114440085849
1190.3449728146508500.6899456293016990.65502718534915
1200.3109606907465720.6219213814931440.689039309253428
1210.3192481080485980.6384962160971970.680751891951402
1220.3156591366603520.6313182733207030.684340863339648
1230.2678629458065170.5357258916130340.732137054193483
1240.3459437439870180.6918874879740370.654056256012982
1250.2988756399406140.5977512798812270.701124360059386
1260.4347394482629360.8694788965258720.565260551737064
1270.3883599497902970.7767198995805950.611640050209703
1280.3405681507999830.6811363015999670.659431849200017
1290.2927617950389380.5855235900778760.707238204961062
1300.2879146417060110.5758292834120230.712085358293989
1310.2576743916177990.5153487832355970.742325608382201
1320.2069042905135050.4138085810270110.793095709486495
1330.1640717521822600.3281435043645200.83592824781774
1340.1249103850583550.2498207701167110.875089614941645
1350.09248218779907130.1849643755981430.907517812200929
1360.1976047797747030.3952095595494060.802395220225297
1370.2437178145522360.4874356291044720.756282185447764
1380.243631903494260.487263806988520.75636809650574
1390.1851622482002080.3703244964004160.814837751799792
1400.1833602592321140.3667205184642270.816639740767886
1410.3229743322185960.6459486644371910.677025667781404
1420.2780278807192700.5560557614385410.72197211928073
1430.2138181881120.4276363762240.786181811888
1440.1702954374011750.340590874802350.829704562598825
1450.1870681795967230.3741363591934450.812931820403277
1460.1295286817643590.2590573635287180.870471318235641
1470.07545849878232030.1509169975646410.92454150121768
1480.04135692045789310.08271384091578620.958643079542107


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 level10.0072463768115942OK