Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 192.32646202974 -0.0932944457947647Jaar[t] + 0.00253534923079148Volgnummer[t] + 0.105538702589016Connected[t] -0.0133280703286124Separate[t] + 0.529685111915017Software[t] + 0.0522729799854157Happiness[t] -0.0637883373720879Depression[t] + 0.0429223923795689Belonging[t] -0.0575356543912696Belonging_Final[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)192.326462029741036.0971890.18560.8529860.426493
Jaar-0.09329444579476470.518185-0.180.857360.42868
Volgnummer0.002535349230791480.0376860.06730.9464510.473225
Connected0.1055387025890160.0473852.22720.0274010.0137
Separate-0.01332807032861240.045596-0.29230.770450.385225
Software0.5296851119150170.0697437.594800
Happiness0.05227297998541570.0766720.68180.4964180.248209
Depression-0.06378833737208790.056708-1.12490.2624220.131211
Belonging0.04292239237956890.0450380.9530.3420870.171043
Belonging_Final-0.05753565439126960.064609-0.89050.3745950.187297


Multiple Linear Regression - Regression Statistics
Multiple R0.603200621443045
R-squared0.363850989709276
Adjusted R-squared0.326184271994694
F-TEST (value)9.65974769732629
F-TEST (DF numerator)9
F-TEST (DF denominator)152
p-value1.34958710873434e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.85208074720042
Sum Squared Residuals521.390870310871


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.3170547930121-3.31705479301213
21616.2549378195265-0.254937819526474
31916.48847825204622.51152174795377
41512.13635013878852.86364986121146
51415.8436052409297-1.84360524092969
61315.1761986463208-2.17619864632084
71915.28892432984143.71107567015857
81516.9266444909602-1.92664449096021
91416.1828846725128-2.18288467251278
101512.8522723057172.14772769428302
111615.48199013794040.518009862059594
121616.3724673903235-0.37246739032346
131615.69594710434330.304052895656717
141615.47831339333910.521686606660916
151717.605110215184-0.605110215184028
161515.2354752836093-0.235475283609272
171514.8259830706260.17401692937405
182016.40735179037863.59264820962139
191815.61053621767612.38946378232391
201615.38435665582440.6156433441756
211615.42977806647470.570221933525306
221614.98392456577151.01607543422849
231916.58353247501962.41646752498041
241614.92587165739281.07412834260725
251715.05077754783321.94922245216681
261717.1226675024419-0.12266750244187
271615.17196257940250.828037420597534
281516.2322744173616-1.23227441736162
291615.67357901845920.32642098154082
301414.1623686020954-0.16236860209539
311515.7611294974257-0.761129497425708
321212.4344966115287-0.434496611528665
331415.2474750141503-1.24747501415034
341615.669560662760.330439337240045
351415.846746778461-1.84674677846099
36713.1294441128628-6.12944411286285
371011.2403339164082-1.24033391640817
381415.9552045061731-1.95520450617308
391614.4603824875471.539617512453
401614.69679341682631.30320658317367
411615.13407353763070.865926462369281
421415.6998242724917-1.6998242724917
432017.84114982071782.15885017928224
441414.302720012127-0.30272001212702
451414.9766653050329-0.976665305032891
461115.7320349448778-4.73203494487779
471416.4793529564157-2.47935295641567
481515.0905052063921-0.0905052063921116
491615.39295721774350.60704278225651
501416.1326003647915-2.13260036479145
511616.6306810549274-0.630681054927408
521414.2769318653351-0.276931865335081
531214.7945038858262-2.79450388582624
541615.21784444807980.782155551920211
55911.6614338671926-2.66143386719262
561412.73947734649811.26052265350191
571616.1222557983765-0.122255798376522
581615.14443470773690.855565292263081
591515.4143298476654-0.414329847665403
601614.25504995646121.74495004353878
611211.59598280002280.404017199977248
621616.065130416496-0.0651304164960116
631616.5870071489013-0.58700714890133
641414.4455526718206-0.445552671820646
651615.43453631538210.565463684617947
661716.05395056357080.94604943642922
671816.09645046534591.90354953465413
681814.71252989382053.28747010617947
691215.8577474059578-3.85774740595779
701615.44171555515860.558284444841393
711013.46605389867-3.46605389866999
721414.3440879074617-0.344087907461718
731816.61014010301411.38985989698593
741817.14475566063530.855244339364704
751615.75250400471850.247495995281517
761713.97695972607433.02304027392566
771616.3539465521984-0.353946552198415
781614.49576067560291.50423932439705
791314.9252204065366-1.92522040653659
801615.89980788664820.100192113351822
811615.56900693440.430993065599995
822016.62654514608673.37345485391334
831615.61356015780990.386439842190099
841515.942309254944-0.942309254944002
851514.72140688222980.278593117770169
861614.2657237144871.73427628551301
871414.2411424061278-0.241142406127762
881615.29826789608470.701732103915345
891614.53565158734281.46434841265718
901514.29825916924440.70174083075564
911213.5136626167341-1.51366261673408
921716.87108388890340.128916111096644
931615.53044671920120.469553280798842
941515.3093218733226-0.309321873322577
951315.1136501048415-2.11365010484149
961615.12526443674490.874735563255112
971615.7490684814590.250931518540971
981614.11228047423981.88771952576025
991616.0454791617202-0.0454791617202046
1001414.2939963578046-0.29399635780461
1011617.2105859845917-1.21058598459166
1021614.75899326451871.24100673548131
1032017.32463861540932.67536138459074
1041514.46848586572730.53151413427267
1051614.59041420599171.40958579400833
1061315.3227667957045-2.32276679570448
1071715.94862330033491.05137669966505
1081615.85877846483970.141221535160284
1091614.41205233563511.58794766436487
1101212.1964544508171-0.196454450817143
1111614.9333137544731.06668624552697
1121615.78550497605750.214495023942469
1131714.52561973397262.47438026602743
1141314.8173484505667-1.81734845056674
1151214.7647884148948-2.76478841489482
1161816.49007595274931.50992404725069
1171415.3813291512151-1.38132915121514
1181412.95863206060111.04136793939891
1191314.8386266605223-1.8386266605223
1201615.65588927293650.344110727063514
1211314.2037502379512-1.20375023795119
1221615.5525225317270.447477468272963
1231315.8522562553337-2.85225625533373
1241616.8580746880549-0.858074688054904
1251515.7970057268425-0.797005726842471
1261616.6590948395921-0.659094839592084
1271515.2831603333916-0.283160333391556
1281716.06833506066880.931664939331157
1291513.71395214831061.28604785168944
1301214.8217701009547-2.82177010095473
1311614.07318386167981.92681613832023
1321013.3138499733924-3.31384997339237
1331614.00560770976421.99439229023575
1341213.8296952843155-1.82969528431552
1351415.5431308259074-1.54313082590736
1361515.0032511586895-0.00325115868948473
1371312.10800457324630.891995426753724
1381514.2292720657690.770727934231032
1391113.012019927351-2.01201992735102
1401213.1657858946669-1.16578589466692
141813.2512654852917-5.2512654852917
1421612.89155447967673.10844552032327
1431513.26184715848581.73815284151421
1441716.4229692996280.577030700371982
1451614.64096077703931.35903922296071
1461014.0109736875882-4.01097368758818
1471815.709443053822.29055694617995
1481314.9904048426835-1.99040484268353
1491615.00082603849430.999173961505709
1501312.96462366572640.0353763342736232
1511012.9625623101176-2.9625623101176
1521516.2039382271053-1.20393822710529
1531613.89905586387932.1009441361207
1541611.87460500677334.12539499322673
1551412.32858210716891.67141789283114
1561012.3589208158072-2.35892081580717
1571716.5694093599310.43059064006902
1581311.50052419906581.49947580093417
1591513.60342373364481.39657626635522
1601614.8819575713621.118042428638
1611212.4755436067409-0.475543606740932
1621312.44198467742230.558015322577722


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.7344025528905120.5311948942189760.265597447109488
140.5872031319675340.8255937360649310.412796868032466
150.4689627142748230.9379254285496450.531037285725177
160.4016462209861090.8032924419722180.598353779013891
170.3047302819435460.6094605638870920.695269718056454
180.3865237422761720.7730474845523430.613476257723828
190.3274701900198060.6549403800396120.672529809980194
200.2466738990004760.4933477980009520.753326100999524
210.1899240995503270.3798481991006540.810075900449673
220.1913760613315740.3827521226631470.808623938668426
230.3808152824769450.7616305649538890.619184717523055
240.4384202989463220.8768405978926440.561579701053678
250.3933605375914690.7867210751829370.606639462408531
260.3302567885293110.6605135770586220.669743211470689
270.2813516184910790.5627032369821580.718648381508921
280.4351484988111270.8702969976222540.564851501188873
290.3771347888865220.7542695777730440.622865211113478
300.4948965337995690.9897930675991390.50510346620043
310.4416555085411880.8833110170823770.558344491458811
320.4078247382849660.8156494765699310.592175261715034
330.3941668352291840.7883336704583690.605833164770816
340.3625867434714960.7251734869429910.637413256528504
350.3161642167557930.6323284335115850.683835783244207
360.8607128560048830.2785742879902340.139287143995117
370.8324718114964340.3350563770071330.167528188503566
380.8124566105029910.3750867789940190.187543389497009
390.8456965413818870.3086069172362250.154303458618113
400.8317113361582590.3365773276834810.168288663841741
410.8009359096649680.3981281806700650.199064090335032
420.774512875319850.45097424936030.22548712468015
430.7994701032053350.4010597935893290.200529896794665
440.7589328673221880.4821342653556240.241067132677812
450.7319349434834790.5361301130330420.268065056516521
460.8715477125709330.2569045748581340.128452287429067
470.8951833123692520.2096333752614960.104816687630748
480.8734461583073170.2531076833853660.126553841692683
490.8729407852746710.2541184294506580.127059214725329
500.8659497415146970.2681005169706060.134050258485303
510.8397032931562680.3205934136874650.160296706843732
520.8108904149518360.3782191700963280.189109585048164
530.8213526651884510.3572946696230980.178647334811549
540.7924189610902130.4151620778195730.207581038909787
550.8094343703154950.381131259369010.190565629684505
560.7897721870340110.4204556259319790.210227812965989
570.7529382870942180.4941234258115640.247061712905782
580.7383387273220780.5233225453558440.261661272677922
590.7080041124461520.5839917751076970.291995887553848
600.7134069820922330.5731860358155350.286593017907767
610.6788799223171090.6422401553657820.321120077682891
620.6427327321860590.7145345356278830.357267267813941
630.6098431012248870.7803137975502250.390156898775113
640.565831983956610.8683360320867810.43416801604339
650.5264706146249030.9470587707501940.473529385375097
660.4957121361805290.9914242723610590.504287863819471
670.4972574106166630.9945148212333260.502742589383337
680.6444788058956880.7110423882086240.355521194104312
690.7486505950558420.5026988098883160.251349404944158
700.7163124908939510.5673750182120970.283687509106049
710.8174055333266370.3651889333467260.182594466673363
720.787021122118440.4259577557631190.21297887788156
730.7805704156730150.438859168653970.219429584326985
740.7634462024481260.4731075951037480.236553797551874
750.7257844931745820.5484310136508360.274215506825418
760.7631050246263260.4737899507473490.236894975373674
770.7261311870146440.5477376259707120.273868812985356
780.7046084588356820.5907830823286370.295391541164318
790.7158021194399260.5683957611201480.284197880560074
800.674984683099350.65003063380130.32501531690065
810.6384759769395070.7230480461209870.361524023060493
820.7626771285244190.4746457429511620.237322871475581
830.7275068103709230.5449863792581550.272493189629077
840.6972012272979860.6055975454040280.302798772702014
850.65589172694210.68821654611580.3441082730579
860.6431714337363730.7136571325272530.356828566263627
870.5988968139769060.8022063720461880.401103186023094
880.5565207308170730.8869585383658540.443479269182927
890.5330661727951140.9338676544097710.466933827204886
900.4937800566566720.9875601133133430.506219943343328
910.4827642365127710.9655284730255420.517235763487229
920.439430667785070.8788613355701410.56056933221493
930.3953920003832940.7907840007665880.604607999616706
940.3518621581642860.7037243163285730.648137841835714
950.3734718596350770.7469437192701550.626528140364923
960.336509490301710.673018980603420.66349050969829
970.2955433493590810.5910866987181630.704456650640918
980.2889091693941660.5778183387883330.711090830605834
990.2486704284812240.4973408569624470.751329571518776
1000.2158218475316440.4316436950632870.784178152468356
1010.1938229682799530.3876459365599060.806177031720047
1020.1755111115904460.3510222231808910.824488888409554
1030.2140581797471690.4281163594943380.785941820252831
1040.1806051243479070.3612102486958140.819394875652093
1050.1719312123700630.3438624247401260.828068787629937
1060.183025969744530.3660519394890610.81697403025547
1070.1627412434710470.3254824869420940.837258756528953
1080.1435386845972050.287077369194410.856461315402795
1090.1389514446431290.2779028892862570.861048555356871
1100.136026976520060.2720539530401190.86397302347994
1110.1237714382542280.2475428765084560.876228561745772
1120.1063910427664180.2127820855328350.893608957233582
1130.1481185533025240.2962371066050480.851881446697476
1140.1383988010932290.2767976021864580.861601198906771
1150.1557769690523370.3115539381046740.844223030947663
1160.164901473186560.329802946373120.83509852681344
1170.1408117957575190.2816235915150380.859188204242481
1180.1380106208008380.2760212416016770.861989379199162
1190.1280092743427510.2560185486855030.871990725657249
1200.1359437616834450.271887523366890.864056238316555
1210.1106050000565490.2212100001130980.889394999943451
1220.0942046181651440.1884092363302880.905795381834856
1230.09001535978010220.1800307195602040.909984640219898
1240.06963227912559070.1392645582511810.930367720874409
1250.0528661537079820.1057323074159640.947133846292018
1260.03964553642885160.07929107285770310.960354463571148
1270.02870400654243590.05740801308487170.971295993457564
1280.02689070687634230.05378141375268470.973109293123658
1290.02971876156903730.05943752313807460.970281238430963
1300.029320305927590.05864061185517990.97067969407241
1310.0316028206171330.0632056412342660.968397179382867
1320.03397922074918720.06795844149837430.966020779250813
1330.0678848897293130.1357697794586260.932115110270687
1340.07000582977161520.140011659543230.929994170228385
1350.05247339883657710.1049467976731540.947526601163423
1360.04312782368257740.08625564736515480.956872176317423
1370.0301237841917880.06024756838357610.969876215808212
1380.03543151509597270.07086303019194540.964568484904027
1390.02911965496026760.05823930992053520.970880345039732
1400.01887282337515370.03774564675030740.981127176624846
1410.4990106697953690.9980213395907380.500989330204631
1420.4345559037258990.8691118074517980.565444096274101
1430.3636358236548560.7272716473097130.636364176345144
1440.2767639411164250.5535278822328490.723236058883575
1450.198560144567780.3971202891355610.80143985543222
1460.2154493718225310.4308987436450630.784550628177469
1470.2223847401949120.4447694803898230.777615259805088
1480.4702472787015630.9404945574031250.529752721298437
1490.6145141340590630.7709717318818740.385485865940937


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0072992700729927OK
10% type I error level120.0875912408759124OK