Multiple Linear Regression - Estimated Regression Equation
Doubtsaboutactions[t] = + 4.09848461408936 + 0.32267807199523month[t] + 0.246895780354797ConcernoverMistakes[t] -0.109244278297377ParentalExpectations[t] + 0.151547174570636ParentalCriticism[t] -0.189756878633375PersonalStandards[t] + 0.113329495895667`Organization `[t] + 0.000994111036614308t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.0984846140893611.141690.36790.7134990.35675
month0.322678071995231.1151520.28940.7727040.386352
ConcernoverMistakes0.2468957803547970.0405386.090500
ParentalExpectations-0.1092442782973770.074902-1.45850.1467810.073391
ParentalCriticism0.1515471745706360.0941781.60910.1096730.054836
PersonalStandards-0.1897568786333750.057396-3.30610.0011820.000591
`Organization `0.1133294958956670.0580931.95080.0529290.026464
t0.0009941110366143080.0046930.21180.8325330.416267


Multiple Linear Regression - Regression Statistics
Multiple R0.490382703106539
R-squared0.240475195506076
Adjusted R-squared0.205265436357351
F-TEST (value)6.82978814170002
F-TEST (DF numerator)7
F-TEST (DF denominator)151
p-value4.7523723134546e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.49660665392697
Sum Squared Residuals941.189762449296


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11411.93836094126082.06163905873918
21111.4872938812390-0.487293881238981
367.69855356508792-1.69855356508792
41210.57182007773671.42817992226325
589.48328418726645-1.48328418726645
6109.820687347408880.179312652591124
7109.763956786962580.236043213037420
8119.764393772258541.23560622774146
91610.79561723512075.20438276487926
101110.02143226065870.978567739341315
111312.41847690975100.581523090249037
121212.9461816021611-0.946181602161125
13812.9774721403172-4.97747214031722
141210.56707392883291.43292607116709
15119.18314474134381.81685525865620
1647.32123516068448-3.32123516068448
17910.9996412635532-1.99964126355324
1889.76064402319735-1.76064402319735
19810.0310031133341-2.03100311333405
201412.71096464433991.28903535566007
211512.19007645049602.80992354950398
221613.72390968644692.27609031355308
23911.7481733683644-2.74817336836438
241414.31378239371-0.313782393709995
251111.4299165844033-0.429916584403258
2689.38220479627382-1.38220479627382
2799.53662674775096-0.536626747750962
28911.5961879912493-2.59618799124928
29910.4542311586860-1.45423115868602
3099.47335143639563-0.473351436395627
311011.7502994625792-1.75029946257920
321611.77405823688894.22594176311113
33119.105681596729161.89431840327084
34810.0423757817061-2.04237578170606
3598.700056774409640.299943225590362
361612.63142025838013.36857974161985
371112.6157490448223-1.61574904482227
38169.28687320426736.7131267957327
391212.2969260292881-0.296926029288116
401210.39095209203451.60904790796547
411412.54128228558781.45871771441223
42910.4958862801234-1.49588628012339
431010.6558545064659-0.655854506465923
4498.438718345545340.561281654454665
451010.1007501125091-0.100750112509135
461210.12322130706601.87677869293403
471411.60024009549682.39975990450321
481412.09431574348291.90568425651714
491012.2980569018874-2.29805690188738
50149.893248772946364.10675122705364
511612.21072228585773.78927771414227
52910.4575426615236-1.45754266152363
531011.5954031954859-1.59540319548588
5469.01244269724991-3.01244269724991
55811.2759876621775-3.2759876621775
561312.43406219208670.565937807913331
571010.8413004326460-0.841300432646013
5888.89909901396103-0.899099013961033
5979.18672055480479-2.18672055480479
60159.790330333368275.20966966663173
6199.91519991506454-0.915199915064538
621010.2265618496154-0.226561849615389
631210.22938527979831.77061472020166
641310.48872564582302.51127435417698
65108.41608687811781.58391312188221
661111.8428133001595-0.842813300159469
67813.6015868713492-5.6015868713492
6899.13257018067963-0.132570180679627
69138.66061798656884.3393820134312
701110.43277448055180.567225519448176
71812.7569392870387-4.75693928703867
72910.7871768270365-1.78717682703654
73912.3531004172197-3.35310041721968
741512.50159928899712.49840071100287
75911.1790482555329-2.17904825553289
761011.5656486191227-1.56564861912273
77148.948907404122025.05109259587798
781210.96737862888251.03262137111750
791211.13690171867340.86309828132665
801111.5563104403333-0.556310440333313
811411.49566182735682.50433817264318
82611.5822967772443-5.58229677724427
831211.27265793190110.7273420680989
84810.0902354968231-2.09023549682314
851412.42666506193721.57333493806276
861110.83326236870610.166737631293865
87109.938842250288110.0611577497118848
881410.26750987488113.73249012511893
891212.0703882440690-0.0703882440690459
901011.0097065135456-1.00970651354563
911413.01201819272870.987981807271296
9259.03553738146481-4.03553738146481
931110.52329898313330.476701016866721
941010.2129764002312-0.212976400231170
95911.4995123315785-2.49951233157849
961011.4732522121774-1.47325221217737
971613.75831091665522.24168908334482
981312.82985989392190.170140106078072
99910.8288966342418-1.82889663424179
1001011.3862219908247-1.38622199082471
1011010.9965922733871-0.996592273387102
10279.50299179272843-2.50299179272843
10399.82353919762822-0.823539197628221
104810.2579389578854-2.25793895788538
1051412.91345243378851.08654756621147
1061411.63315992604232.36684007395766
107811.0958116562564-3.09581165625638
108911.5479859267524-2.54798592675245
1091411.83964077559362.16035922440638
1101410.76376375626443.23623624373556
11189.89181980729454-1.89181980729454
112813.7246293482616-5.72462934826161
113811.0186565149427-3.01865651494274
11478.59672109006802-1.59672109006802
11567.55834374557591-1.55834374557591
11689.46348840514807-1.46348840514807
11768.3305117942813-2.3305117942813
118119.924006094491281.07599390550872
1191411.88647602450552.11352397549451
1201111.1211527618446-0.121152761844623
1211112.0065792151989-1.00657921519891
122119.240391685464971.75960831453503
1231410.42618563964783.57381436035225
124810.4438890102675-2.44388901026750
1252011.55528173933268.44471826066744
1261110.36534755156010.634652448439872
12789.21395662788415-1.21395662788415
1281110.79351929520450.206480704795504
1291010.6938068211101-0.693806821110146
1301413.51230940872770.487690591272337
1311110.61981018897570.380189811024251
132910.6520758892231-1.65207588922305
13399.79291786424464-0.792917864244645
134810.2227534824305-2.22275348243046
1351012.1161961158982-2.11619611589821
1361310.76991096924162.23008903075835
1371310.16514352417872.83485647582134
138129.338714652093382.66128534790662
139810.4486817159249-2.44868171592491
1401311.08062108532371.91937891467632
1411412.47523920127921.52476079872079
1421211.74040951246730.259590487532718
1431410.95040326072413.04959673927592
1441511.38126808573153.61873191426849
1451310.59292971216012.40707028783991
1461611.9344513402244.06554865977601
147912.0412791436863-3.04127914368626
148910.5511480018923-1.55114800189227
149911.0524282560510-2.05242825605105
150811.3635933521282-3.36359335212824
151710.1350992827678-3.13509928276784
1521612.01966381964343.98033618035661
1531113.4097102544819-2.40971025448191
154910.0445020094602-1.04450200946019
155119.914920685995861.08507931400414
15699.94122107111782-0.94122107111782
1571412.57085576631331.42914423368665
1581311.10944719664841.89055280335164
1591614.5269346664881.47306533351201


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.08580381579864330.1716076315972870.914196184201357
120.03113883286837580.06227766573675150.968861167131624
130.3046256974956150.6092513949912290.695374302504385
140.4923297378644560.9846594757289110.507670262135544
150.6526147455364110.6947705089271770.347385254463589
160.5813832403284340.8372335193431330.418616759671566
170.4886059104635260.9772118209270510.511394089536474
180.4154336943552040.8308673887104090.584566305644796
190.3816733446978060.7633466893956110.618326655302194
200.5691465470068440.8617069059863130.430853452993157
210.6553792034170380.6892415931659240.344620796582962
220.6408459417851070.7183081164297850.359154058214893
230.6084197818606230.7831604362787540.391580218139377
240.5348406396008070.9303187207983850.465159360399193
250.4697521420479230.9395042840958460.530247857952077
260.4030814577475740.8061629154951480.596918542252426
270.3421951887236390.6843903774472780.657804811276361
280.2997471879255890.5994943758511780.700252812074411
290.2448708246821810.4897416493643610.75512917531782
300.2079108207846770.4158216415693530.792089179215324
310.1703614319490550.3407228638981110.829638568050945
320.2830672456745590.5661344913491190.71693275432544
330.2703166370948230.5406332741896460.729683362905177
340.25714934320610.51429868641220.7428506567939
350.2167652279223840.4335304558447670.783234772077616
360.2519866462501780.5039732925003570.748013353749822
370.2379295540256370.4758591080512730.762070445974363
380.6504416509583420.6991166980833170.349558349041658
390.60170839862210.79658320275580.3982916013779
400.561100317608190.877799364783620.43889968239181
410.515216170134440.969567659731120.48478382986556
420.4923969832886770.9847939665773550.507603016711323
430.4503069196402160.9006138392804310.549693080359784
440.3976073762911250.795214752582250.602392623708875
450.3463192237548770.6926384475097540.653680776245123
460.3170797340352080.6341594680704170.682920265964792
470.2959815273309420.5919630546618840.704018472669058
480.2681170899100560.5362341798201120.731882910089944
490.2825920353494960.5651840706989930.717407964650504
500.3367758965008940.6735517930017890.663224103499106
510.3707927697773420.7415855395546830.629207230222658
520.3611047078239120.7222094156478250.638895292176088
530.3474128125695080.6948256251390150.652587187430492
540.375239224031240.750478448062480.62476077596876
550.3943361618008950.788672323601790.605663838199105
560.3490410812269480.6980821624538960.650958918773052
570.3084749798905960.6169499597811920.691525020109404
580.2698391987521620.5396783975043240.730160801247838
590.2536070936671860.5072141873343730.746392906332814
600.4025064868306770.8050129736613540.597493513169323
610.3584644368916280.7169288737832570.641535563108372
620.3158734462670910.6317468925341830.684126553732909
630.2938597719202280.5877195438404570.706140228079772
640.3029823309266610.6059646618533230.697017669073339
650.2771946678587650.5543893357175310.722805332141235
660.2451835985576380.4903671971152750.754816401442362
670.4288113116987670.8576226233975350.571188688301233
680.3827452788256440.7654905576512890.617254721174356
690.4799033552152070.9598067104304140.520096644784793
700.4374782218571390.8749564437142770.562521778142861
710.5505966822829980.8988066354340030.449403317717002
720.5221139267811770.9557721464376460.477886073218823
730.5420699758046890.9158600483906210.457930024195311
740.5536433633536350.892713273292730.446356636646365
750.5327621220103080.9344757559793830.467237877989692
760.4977920590694850.995584118138970.502207940930515
770.6634979453396030.6730041093207950.336502054660397
780.6325103221340650.734979355731870.367489677865935
790.5960795873565670.8078408252868660.403920412643433
800.5500565574044420.8998868851911160.449943442595558
810.5599259380251810.8801481239496370.440074061974819
820.7116070748256980.5767858503486050.288392925174302
830.6779322377752390.6441355244495220.322067762224761
840.6534354677360960.6931290645278090.346564532263904
850.6309269941698350.738146011660330.369073005830165
860.5898804838935300.8202390322129410.410119516106470
870.5463379909761180.9073240180477650.453662009023882
880.6327332529503530.7345334940992940.367266747049647
890.5874481408753340.8251037182493310.412551859124666
900.5439685378602840.9120629242794330.456031462139716
910.5112576399088360.9774847201823270.488742360091164
920.5544851587381860.8910296825236280.445514841261814
930.5172229573887310.9655540852225370.482777042611269
940.4726537107342030.9453074214684070.527346289265797
950.4545134964082020.9090269928164030.545486503591798
960.4124357550549920.8248715101099840.587564244945008
970.4137204103214250.827440820642850.586279589678575
980.3698917187571210.7397834375142410.63010828124288
990.3356073549317740.6712147098635490.664392645068226
1000.2965779981959530.5931559963919060.703422001804047
1010.2564536480917540.5129072961835090.743546351908245
1020.2375561041875660.4751122083751320.762443895812434
1030.2009429984850390.4018859969700780.799057001514961
1040.1815954776228710.3631909552457420.818404522377129
1050.1587075506477050.317415101295410.841292449352295
1060.1670467751989650.3340935503979290.832953224801035
1070.1663803967068540.3327607934137080.833619603293146
1080.1588475984833070.3176951969666130.841152401516693
1090.1563990771648690.3127981543297370.843600922835131
1100.1996304606006140.3992609212012280.800369539399386
1110.1715219143280510.3430438286561010.82847808567195
1120.3457643201148140.6915286402296270.654235679885186
1130.4054654606024080.8109309212048160.594534539397592
1140.3743301800672520.7486603601345040.625669819932748
1150.3678887380574080.7357774761148170.632111261942592
1160.3272469722859490.6544939445718980.672753027714051
1170.3290086733212870.6580173466425740.670991326678713
1180.2878775954673710.5757551909347420.712122404532629
1190.2602830965402820.5205661930805630.739716903459718
1200.2170126605120350.4340253210240710.782987339487965
1210.2031006830369680.4062013660739350.796899316963032
1220.1812409765747650.362481953149530.818759023425235
1230.1850904435962840.3701808871925690.814909556403716
1240.2002090679418550.4004181358837090.799790932058145
1250.7239474852809840.5521050294380320.276052514719016
1260.6809296922531620.6381406154936770.319070307746838
1270.6252750715562680.7494498568874650.374724928443732
1280.5623480108547040.8753039782905930.437651989145296
1290.4977166021821540.9954332043643070.502283397817846
1300.434319989708160.868639979416320.56568001029184
1310.3791341147369010.7582682294738010.6208658852631
1320.3268602363354120.6537204726708240.673139763664588
1330.2695209404957510.5390418809915020.730479059504249
1340.2386437136351360.4772874272702730.761356286364864
1350.2388293507338630.4776587014677260.761170649266137
1360.1978876201918660.3957752403837310.802112379808134
1370.2039718287444070.4079436574888150.796028171255593
1380.2083358994386860.4166717988773710.791664100561314
1390.2320376306596430.4640752613192860.767962369340357
1400.1771798642142750.354359728428550.822820135785725
1410.1299250008573040.2598500017146070.870074999142696
1420.0949552124591360.1899104249182720.905044787540864
1430.09669682069728330.1933936413945670.903303179302717
1440.08692160717633650.1738432143526730.913078392823663
1450.09598637408496640.1919727481699330.904013625915034
1460.3058678267941570.6117356535883140.694132173205843
1470.2029982055430340.4059964110860680.797001794456966
1480.1229806359533680.2459612719067370.877019364046631


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