Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 12.8466322963478 -0.519508200233652Gender[t] + 0.0150227529352552Concern[t] -0.274396434721787Doubts[t] + 0.0644169575826978Criticism[t] + 0.0264468826309861Standards[t] + 0.171915898709033Organization[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.84663229634781.4216939.036200
Gender-0.5195082002336520.379011-1.37070.1726180.086309
Concern0.01502275293525520.0371520.40440.686550.343275
Doubts-0.2743964347217870.070116-3.91350.000147e-05
Criticism0.06441695758269780.0688650.93540.3511530.175576
Standards0.02644688263098610.0493810.53560.5930860.296543
Organization0.1719158987090330.0517423.32250.0011330.000566


Multiple Linear Regression - Regression Statistics
Multiple R0.450207146949892
R-squared0.202686475164762
Adjusted R-squared0.169232760836011
F-TEST (value)6.05871363559073
F-TEST (DF numerator)6
F-TEST (DF denominator)143
p-value1.12911825665973e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.07168736145602
Sum Squared Residuals613.740058877174


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.1132272391654-3.11322723916539
21615.85117482284450.148825177155521
31915.64268728694563.35731271305438
41513.89672456932921.10327543067083
51414.8164714987041-0.816471498704096
61315.3498564830057-2.34985648300574
71914.40239365169954.59760634830050
81516.2778523879167-1.27785238791669
91415.9025553027541-1.90255530275406
101514.43727611487350.562723885126455
111614.82009032777421.17990967222578
121614.99573426818431.00426573181569
131614.72366212102621.27633787897381
141717.0622800952334-0.0622800952334465
151512.37593464824172.62406535175826
161515.3566002198894-0.356600219889425
172016.65749039174173.34250960825834
181816.07265330529121.92734669470876
191616.6025754878873-0.602575487887315
201613.96707982073092.03292017926906
211915.33441373453363.66558626546645
221614.67613000292621.32386999707378
231715.41049933063521.58950066936483
241715.07873217946491.92126782053511
251614.43986834097631.56013165902365
261513.19432846923341.80567153076660
271415.3812589525083-1.38125895250827
281515.8582237802245-0.85822378022446
291214.5069695922397-2.50696959223973
301415.1026984528118-1.10269845281183
311615.62286559825900.377134401741045
321415.3246675013818-1.32466750138178
33714.3708393679703-7.37083936797029
341013.3193004167425-3.31930041674249
351414.2766685332454-0.276668533245414
361616.9054092726749-0.905409272674915
371614.18225350501841.81774649498165
381613.13439966775922.86560033224082
391415.6689011809964-1.66890118099636
402017.19519021767042.80480978232955
411414.5818796725194-0.581879672519363
421415.3725651706667-1.37256517066666
431114.5517323011494-3.55173230114944
441515.4836097406597-0.483609740659719
451615.55485001743670.445149982563266
461415.0406350869764-1.04063508697640
471614.22597035933871.77402964066126
481414.7911890136018-0.791189013601796
491214.9826238539759-2.98262385397585
501615.29767643449920.702323565500791
51913.3058767143725-4.3058767143725
521414.4630092807491-0.463009280749088
531615.83410402805800.16589597194198
541615.16614808646290.833851913537109
551514.68018495271430.319815047285719
561615.29244420579870.707555794201252
571213.5301062791087-1.53010627910873
581615.59113936702240.408860632977633
591616.3613431796166-0.361343179616587
601416.6221460569512-2.62214605695119
611613.05061829898392.94938170101611
621716.04383826004200.956161739958021
631814.69095013719653.30904986280346
641815.42897420895882.57102579104119
651215.0016851338993-3.00168513389928
661615.62531825263120.374681747368784
671014.082065204359-4.082065204359
681412.57725071345451.42274928654548
691816.09013897844411.90986102155590
701816.23976650035021.76023349964985
711615.04584605819330.954153941806678
721615.61986037166630.38013962833366
731614.65376037921981.34623962078022
741314.7136783918005-1.71367839180047
751615.22906012071430.770939879285746
761614.60187895448871.3981210455113
772015.98427186560954.01572813439047
781615.31087301587020.689126984129812
791512.44560236063072.55439763936933
801515.7486007833534-0.748600783353391
811615.97802802189440.0219719781055923
821413.83552110277930.164478897220684
831513.40936437303821.59063562696179
841214.9343337421162-2.93433374211618
851716.76507026445040.234929735549553
861615.60313176727530.396868232724656
871513.34150889591381.65849110408616
881314.0729301694969-1.07293016949692
891615.5697737077470.430226292253006
901615.38785902036290.612140979637064
911616.2058373533114-0.205837353311379
921615.82080660689290.179193393107128
931415.1309167354651-1.13091673546512
941614.15296883580841.84703116419157
951614.26450031687891.73549968312107
962016.38323908789713.61676091210293
971515.4521140970786-0.452114097078607
981614.28130285780531.71869714219474
991313.6617315972799-0.66173159727986
1001716.26104148496930.7389585150307
1011614.34010841557711.65989158442288
1021212.9285109546839-0.928510954683935
1031614.83981965126411.16018034873588
1041615.33026914987330.669730850126732
1051715.35009648433521.64990351566477
1061312.68590849296290.314091507037111
1071215.9035742540845-3.90357425408455
1081815.51311943837852.48688056162153
1091414.1184983214712-0.118498321471246
1101414.6181299748476-0.618129974847617
1111313.8771986874648-0.877198687464781
1121615.59338658577650.406613414223484
1131312.73107130689990.268928693100056
1141615.03919017901270.960809820987319
1151315.1221406550671-2.12214065506711
1161616.1679663409847-0.167966340984661
1171514.69397106212600.306028937873954
1181615.80569212764840.194307872351554
1191514.51202850645890.487971493541146
1201715.84228292983161.15771707016835
1211516.2758336502491-1.27583365024908
1221213.6897601426519-1.68976014265193
1231614.27487482408661.72512517591337
1241014.2974021505662-4.29740215056615
1251614.77052941944501.22947058055496
1261414.3793416353615-0.379341635361508
1271516.5913787876252-1.59137878762517
1281314.1498208933421-1.14982089334215
1291514.63400423909970.365995760900317
1301113.9717434494744-2.97174344947439
1311214.2457041903224-2.24570419032235
132814.1487084385333-6.14870843853331
1331616.4471268481276-0.447126848127603
1341514.98976561852870.010234381471306
1351715.82000672297491.17999327702509
1361614.73007905053031.26992094946971
1371015.1978366114683-5.19783661146835
1381813.65954824842074.34045175157931
1391314.0407839427234-1.0407839427234
1401514.59656997229970.40343002770027
1411614.43986834097631.56013165902365
1421615.15691849646950.843081503530482
1431413.93456489641960.0654351035804267
1441013.6079695566325-3.60796955663248
1451716.76507026445040.234929735549553
1461314.9913678998657-1.99136789986574
1471516.2758336502491-1.27583365024908
1481615.89527575771860.104724242281385
1491215.5796022535339-3.57960225353393
1501313.6965565585874-0.696556558587408


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9267226120642150.1465547758715710.0732773879357853
110.862900604909970.274198790180060.13709939509003
120.7866650199580270.4266699600839450.213334980041973
130.7321741790975250.5356516418049490.267825820902475
140.6441800793475720.7116398413048550.355819920652428
150.5511464695290260.8977070609419490.448853530470974
160.4818332109344550.963666421868910.518166789065545
170.4628994346728780.9257988693457560.537100565327122
180.4671523361783390.9343046723566790.532847663821661
190.3797182616110430.7594365232220860.620281738388957
200.3705758425910190.7411516851820370.629424157408981
210.4657540514619150.9315081029238310.534245948538085
220.4586521902589590.9173043805179180.541347809741041
230.3984313803529010.7968627607058020.601568619647099
240.3440826899362460.6881653798724920.655917310063754
250.2846876221156400.5693752442312810.71531237788436
260.2463424918217160.4926849836434310.753657508178284
270.2008991346182140.4017982692364270.799100865381786
280.2629349861874270.5258699723748540.737065013812573
290.3592407327961540.7184814655923080.640759267203846
300.3126645524278360.6253291048556720.687335447572164
310.2709733308547870.5419466617095740.729026669145213
320.2274225801675680.4548451603351350.772577419832432
330.903554916269240.192890167461520.09644508373076
340.943482618812050.1130347623758990.0565173811879493
350.9256143937054860.1487712125890280.0743856062945139
360.905594574935460.1888108501290820.0944054250645408
370.8950913711749560.2098172576500890.104908628825045
380.9166452865576420.1667094268847170.0833547134423583
390.9135851957686230.1728296084627550.0864148042313775
400.9587472918652440.08250541626951150.0412527081347558
410.9476174172312670.1047651655374660.0523825827687332
420.9435445340280320.1129109319439360.056455465971968
430.9647859480155770.07042810396884540.0352140519844227
440.9537601673308820.09247966533823540.0462398326691177
450.9406047468331430.1187905063337140.0593952531668571
460.9285264336703570.1429471326592860.071473566329643
470.9189397628896350.162120474220730.081060237110365
480.8995900655669250.2008198688661500.100409934433075
490.9189044028117080.1621911943765830.0810955971882915
500.8998019860913660.2003960278172680.100198013908634
510.9444380736816940.1111238526366120.0555619263183061
520.9293607213885140.1412785572229720.070639278611486
530.9112402812750850.1775194374498290.0887597187249147
540.8960250594691280.2079498810617450.103974940530872
550.8760575781972650.2478848436054690.123942421802735
560.8519822085679230.2960355828641530.148017791432077
570.8374720511661260.3250558976677470.162527948833874
580.8097249202071430.3805501595857150.190275079792857
590.7747889553086510.4504220893826980.225211044691349
600.7975411772982330.4049176454035350.202458822701767
610.8197990235265830.3604019529468330.180200976473417
620.792956161558550.4140876768828990.207043838441450
630.8402242084903460.3195515830193080.159775791509654
640.8585794306016450.2828411387967110.141420569398355
650.891229354081290.2175412918374210.108770645918711
660.8681581391618990.2636837216762020.131841860838101
670.9259581232836530.1480837534326950.0740418767163473
680.9159823511805430.1680352976389140.0840176488194568
690.9143617918007350.1712764163985310.0856382081992654
700.9111044460256930.1777911079486150.0888955539743075
710.8944669835333740.2110660329332520.105533016466626
720.8713128119021930.2573743761956130.128687188097807
730.8590221153377940.2819557693244110.140977884662206
740.8505790244038750.2988419511922490.149420975596125
750.8242856352125850.351428729574830.175714364787415
760.8052697971478960.3894604057042080.194730202852104
770.8847238450334980.2305523099330030.115276154966502
780.8631921725949010.2736156548101980.136807827405099
790.8732421693217520.2535156613564960.126757830678248
800.8494629296249870.3010741407500260.150537070375013
810.819613986248150.3607720275037020.180386013751851
820.7894189170318280.4211621659363430.210581082968172
830.781139894912890.437720210174220.21886010508711
840.8152919684968960.3694160630062090.184708031503104
850.7810757888076110.4378484223847780.218924211192389
860.7450322011174120.5099355977651770.254967798882588
870.7327932078176680.5344135843646630.267206792182332
880.7009245882417390.5981508235165230.299075411758262
890.6575247098975950.6849505802048090.342475290102405
900.616838395649790.7663232087004210.383161604350211
910.5685486415205350.862902716958930.431451358479465
920.5193057105554070.9613885788891860.480694289444593
930.4901907881476770.9803815762953530.509809211852323
940.510737151492310.978525697015380.48926284850769
950.4999830590862440.9999661181724870.500016940913756
960.6105987767920690.7788024464158610.389401223207931
970.5614662153666560.8770675692666870.438533784633344
980.5852871436565450.829425712686910.414712856343455
990.5427975557478140.9144048885043730.457202444252186
1000.5205478736164980.9589042527670040.479452126383502
1010.5101816421614240.9796367156771510.489818357838576
1020.4725653364513830.9451306729027670.527434663548617
1030.4396170335713120.8792340671426240.560382966428688
1040.431349620788470.862699241576940.56865037921153
1050.4473829067574890.8947658135149770.552617093242511
1060.3952545379562430.7905090759124860.604745462043757
1070.51947315704650.9610536859070.4805268429535
1080.5471712298984340.9056575402031310.452828770101566
1090.5331622895431400.9336754209137190.466837710456859
1100.4834509957128070.9669019914256150.516549004287193
1110.431106229019170.862212458038340.56889377098083
1120.3809935193261530.7619870386523050.619006480673847
1130.346587759794440.693175519588880.65341224020556
1140.3318390432347350.663678086469470.668160956765265
1150.3214235690805330.6428471381610660.678576430919467
1160.2696472237323030.5392944474646060.730352776267697
1170.2534391570849590.5068783141699170.746560842915041
1180.2659059828582970.5318119657165940.734094017141703
1190.2184684792243130.4369369584486260.781531520775687
1200.1940936564227480.3881873128454960.805906343577252
1210.1637439045363260.3274878090726520.836256095463674
1220.1413653976873210.2827307953746420.85863460231268
1230.1289617191732210.2579234383464430.871038280826779
1240.1802500980253940.3605001960507880.819749901974606
1250.1429086507657240.2858173015314480.857091349234276
1260.1129756689370710.2259513378741420.887024331062929
1270.08596889230879470.1719377846175890.914031107691205
1280.06677898859570070.1335579771914010.9332210114043
1290.04601301258180580.09202602516361150.953986987418194
1300.03713078314735850.0742615662947170.962869216852641
1310.02740855189195640.05481710378391290.972591448108044
1320.2123678422277880.4247356844555770.787632157772212
1330.1570208892645830.3140417785291660.842979110735417
1340.1087018168432050.2174036336864090.891298183156795
1350.1460957689437710.2921915378875420.853904231056229
1360.1334781514384370.2669563028768740.866521848561563
1370.1561072637669050.3122145275338090.843892736233095
1380.4740535587025690.9481071174051390.525946441297431
1390.4213861457767670.8427722915535340.578613854223233
1400.3526686401309360.7053372802618720.647331359869064


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 level60.0458015267175573OK