Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 13.2522145863475 + 0.0923250546673155Concern[t] -0.0427279901581466Doubts[t] -0.0293172689010877Expectations[t] -0.0197865743236952Critisism[t] -0.106730229334144Standards[t] + 0.139579173878108Organization[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)13.25221458634751.5040098.811300
Concern0.09232505466731550.0397742.32120.0216030.010801
Doubts-0.04272799015814660.071763-0.59540.5524560.276228
Expectations-0.02931726890108770.066075-0.44370.6578930.328946
Critisism-0.01978657432369520.083118-0.23810.8121610.40608
Standards-0.1067302293341440.052239-2.04310.0427680.021384
Organization0.1395791738781080.0508942.74250.0068290.003415


Multiple Linear Regression - Regression Statistics
Multiple R0.28527509482277
R-squared0.0813818797261403
Adjusted R-squared0.0451206381363827
F-TEST (value)2.24432137892177
F-TEST (DF numerator)6
F-TEST (DF denominator)152
p-value0.0419327428945955
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.20293550134255
Sum Squared Residuals737.644573107455


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11615.3774282031640.622571796835987
21915.26888485023653.73111514976348
31514.19625887576340.80374112423664
41415.1323110467088-1.13231104670877
51314.3462945117006-1.34629451170062
61915.51155330947823.48844669052183
71515.0910231365047-0.0910231365047432
81414.1956326705673-0.195632670567322
91514.99643240738790.00356759261211682
101615.08024663890800.919753361092036
111615.49437213086620.505627869133822
121615.32683907127210.673160928727901
131615.98329960658790.0167003934120774
141714.33586834368632.66413165631366
151514.30224651274920.697753487250799
161514.69679862747680.303201372523214
172014.80807266612585.1919273338742
181813.99521080844994.00478919155015
191615.12182729456770.878172705432253
201615.13684173281800.86315826718202
211615.07986945992260.920130540077404
221915.51250410627083.48749589372917
231615.04210988620610.957890113793886
241716.35381100640170.646188993598278
251715.82921246268951.17078753731046
261614.66485823571911.33514176428087
271514.83732972853300.162670271466959
281615.56931097403630.430689025963693
291414.9004539014515-0.900453901451533
301514.79960061645760.200399383542408
311216.0377014398412-4.03770143984122
321414.6073112914882-0.607311291488232
331613.97326288323582.02673711676415
341414.8023157929464-0.802315792946436
35714.0236227821235-7.02362278212351
361015.6742754972600-5.67427549725997
371415.5286540365397-1.52865403653973
381614.57438028269871.42561971730130
391615.01102612566230.988973874337695
401614.67243617256011.32756382743994
411416.0182619796846-2.01826197968461
422014.85235820991965.14764179008043
431414.7673567859217-0.767356785921694
441414.4112446960756-0.411244696075594
451114.6553055310207-3.65530553102069
461414.9984467322278-0.99844673222781
471515.3209723546876-0.320972354687619
481615.25270749648490.74729250351507
491415.5343267145585-1.53432671455850
501614.40350630798411.59649369201594
511415.6383904217565-1.63839042175646
521215.1279791945909-3.12797919459086
531615.93494823861390.0650517613860827
54914.3886856780754-5.38868567807539
551413.98582285320500.0141771467949624
561616.0733728526849-0.0733728526849043
571615.33963779806560.660362201934421
581514.45997170516830.540028294831744
591615.33680395488180.663196045118234
601214.1034719803858-2.10347198038577
611614.83525605147551.16474394852448
621615.05229156017850.947708439821472
631415.2913983228153-1.29139832281525
641614.73435904723651.26564095276351
651714.50920904375652.49079095624346
661815.97558309521662.02441690478340
671816.29351993499101.70648006500895
681214.1318680827179-2.1318680827179
691614.57738906094841.42261093905161
701014.9691488490518-4.96914884905182
711415.9413161873238-1.94131618732378
721815.18846345640702.81153654359298
731815.76691844132302.23308155867696
741615.29888388605840.70111611394156
751715.53085923041501.46914076958496
761615.23486918546910.765130814530894
771614.60254902408801.39745097591204
781315.0916190466583-2.09161904665835
791615.63519022730820.364809772691838
801615.26995037560120.73004962439877
812015.29889070388604.70110929611403
821615.99155969905920.00844030094082513
831515.1817552301293-0.181755230129346
841514.77159415249530.228405847504681
851616.1847912960147-0.184791296014749
861415.32874610633-1.32874610633000
871614.91725221363611.08274778636389
881615.20975129722370.790248702776306
891514.76751752548200.232482474518029
901215.2055462291260-3.20554622912597
911716.02122606067300.978773939326954
921614.93059340080491.06940659919505
931515.2925263780727-0.292526378072747
941314.7411258401995-1.74112584019952
951615.62878589114620.371214108853806
961615.04760102278390.952398977216122
971616.0902670359112-0.090267035911169
981615.29885540296310.701144597036892
991415.1415439899500-1.14154398994997
1001615.04752897281280.952471027187227
1011614.78715354211601.21284645788398
1022014.77075609658665.22924390341344
1031514.05793211127980.94206788872024
1041614.76402388164211.23597611835787
1051316.1703347361151-3.17033473611508
1061714.81999997077712.18000002922290
1071614.86923993173251.13076006826751
1081614.57028699881161.42971300118842
1091214.8878353458285-2.88783534582852
1101615.08323119215070.916768807849265
1111614.77808422168461.22191577831542
1121716.21773304652550.782266953474543
1131314.5977670489683-1.59776704896826
1141213.1531697933760-1.15316979337598
1151813.48972601714154.51027398285853
1161415.0160995294844-1.01609952948437
1171413.37918921910950.620810780890483
1181314.4865574749015-1.48655747490150
1191615.34614601611020.65385398388977
1201314.7420596185223-1.74205961852228
1211615.47102196298830.528978037011681
1221314.0032970962407-1.00329709624071
1231614.0408284149691.95917158503099
1241515.3555181860132-0.355518186013225
1251615.2403916399930.759608360007
1261514.94100780522560.0589921947743524
1271714.92478262650992.07521737349013
1281515.2154582522641-0.215458252264068
1291215.2859884400631-3.28598844006306
1301615.93446035991830.0655396400816665
1311014.1654807098006-4.16548070980057
1321615.05824271029260.941757289707381
1331215.1900290208836-3.19002902088364
1341415.3337666935367-1.33376669353674
1351515.7562983412273-0.756298341227266
1361314.6087468770138-1.60874687701377
1371514.65178414576150.348215854238486
1381113.4153204682324-2.41532046823244
1391215.058595555758-3.05859555575799
140813.8644917867719-5.86449178677194
1411614.48115293473811.51884706526189
1421514.84717074234420.152829257655816
1431712.92493501881314.07506498118689
1441615.35453248512040.645467514879553
1451014.5354775240592-4.53547752405919
1461815.27296790636792.72703209363208
1471315.0370151997097-2.03701519970971
1481614.80341645163781.19658354836216
1491314.5622041209489-1.56220412094892
1501014.9902132507904-4.99021325079041
1511514.59480648439220.405193515607761
1521615.31467404655020.685325953449797
1531616.4890094965522-0.489009496552171
1541414.0167283962363-0.0167283962363217
1551014.0151949172672-4.01519491726715
1561714.84063295670382.15936704329619
1571315.5467163713719-2.54671637137193
1581514.81295392018650.187046079813482
1591615.53419971908590.465800280914103


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4885564177155880.9771128354311770.511443582284411
110.3299624246123570.6599248492247150.670037575387643
120.2449547132643100.4899094265286210.75504528673569
130.1654462290310460.3308924580620920.834553770968954
140.3607045146342530.7214090292685070.639295485365747
150.2594132504584490.5188265009168990.74058674954155
160.1791032871774240.3582065743548470.820896712822576
170.3534655511567410.7069311023134820.646534448843259
180.3980761275001650.796152255000330.601923872499835
190.3245869500546110.6491739001092220.675413049945389
200.2559108473373150.511821694674630.744089152662685
210.1958439070682080.3916878141364170.804156092931792
220.2532996404906570.5065992809813150.746700359509343
230.1953711816027380.3907423632054770.804628818397262
240.1672580035811730.3345160071623470.832741996418827
250.1295456074315740.2590912148631470.870454392568426
260.09892227424463790.1978445484892760.901077725755362
270.07458325899695230.1491665179939050.925416741003048
280.05378588344680160.1075717668936030.946214116553198
290.0491834222824240.0983668445648480.950816577717576
300.03534037048799670.07068074097599340.964659629512003
310.1321687666053200.2643375332106410.86783123339468
320.1065275609373180.2130551218746350.893472439062682
330.0832339135551060.1664678271102120.916766086444894
340.06810922003810220.1362184400762040.931890779961898
350.5936980832121790.8126038335756430.406301916787821
360.8256672926781990.3486654146436030.174332707321801
370.8008456913954420.3983086172091170.199154308604558
380.7657035512930740.4685928974138510.234296448706926
390.735752148380480.5284957032390390.264247851619519
400.7184218855481840.5631562289036320.281578114451816
410.6872037232156760.6255925535686480.312796276784324
420.8446395828666870.3107208342666250.155360417133313
430.8506183824832360.2987632350335270.149381617516764
440.819296385924710.361407228150580.18070361407529
450.876732792034720.2465344159305590.123267207965279
460.8547171953456960.2905656093086080.145282804654304
470.8248918523013150.350216295397370.175108147698685
480.8022585175986530.3954829648026950.197741482401347
490.7873314259876530.4253371480246930.212668574012347
500.7652854669723740.4694290660552520.234714533027626
510.7420669443294380.5158661113411250.257933055670562
520.7865065720572390.4269868558855220.213493427942761
530.7494617777498270.5010764445003460.250538222250173
540.9164394675097710.1671210649804580.0835605324902288
550.9033232399969050.1933535200061900.0966767600030949
560.881117968389370.237764063221260.11888203161063
570.8598944714034940.2802110571930110.140105528596506
580.8322689447475290.3354621105049430.167731055252471
590.8104136994803580.3791726010392840.189586300519642
600.8161993424732880.3676013150534230.183800657526712
610.7925141501193880.4149716997612240.207485849880612
620.7626174712624550.4747650574750890.237382528737545
630.7353441887441650.529311622511670.264655811255835
640.7108288242107250.5783423515785490.289171175789275
650.7202670414412440.5594659171175130.279732958558756
660.719200072116880.5615998557662390.280799927883119
670.6984237357654470.6031525284691050.301576264234553
680.69650083864790.6069983227041990.303499161352099
690.6726308326637630.6547383346724740.327369167336237
700.8180901922696890.3638196154606230.181909807730311
710.8139437289409540.3721125421180920.186056271059046
720.830091133172270.3398177336554610.169908866827730
730.8283690056599640.3432619886800730.171630994340036
740.7998979398680010.4002041202639980.200102060131999
750.7789532638823480.4420934722353030.221046736117652
760.7469457480193250.506108503961350.253054251980675
770.7221774634711150.5556450730577690.277822536528885
780.7185317382474020.5629365235051960.281468261752598
790.6788238654900280.6423522690199430.321176134509972
800.639432472177950.72113505564410.36056752782205
810.7798514194337080.4402971611325830.220148580566292
820.7449158028825770.5101683942348460.255084197117423
830.7067407008172220.5865185983655550.293259299182778
840.6662024371296210.6675951257407580.333797562870379
850.6224807587256190.7550384825487620.377519241274381
860.5937447723615770.8125104552768450.406255227638423
870.5583758779231860.8832482441536290.441624122076814
880.5199884259516280.9600231480967440.480011574048372
890.4761741008576890.9523482017153770.523825899142311
900.5250792032131060.9498415935737880.474920796786894
910.4898849412194150.979769882438830.510115058780585
920.4555022835212370.9110045670424740.544497716478763
930.4089229968706660.8178459937413310.591077003129334
940.3920091198185210.7840182396370420.607990880181479
950.3534645185363530.7069290370727060.646535481463647
960.3231914599684260.6463829199368510.676808540031574
970.2829818799569850.5659637599139710.717018120043015
980.2528511527892220.5057023055784440.747148847210778
990.2237070329885890.4474140659771770.776292967011411
1000.1961272533729900.3922545067459800.80387274662701
1010.1766934291315540.3533868582631070.823306570868446
1020.3597770434804550.7195540869609110.640222956519545
1030.3263236222300010.6526472444600020.673676377769999
1040.3107931921534890.6215863843069790.68920680784651
1050.3310572753105860.6621145506211720.668942724689414
1060.3220813856265160.6441627712530310.677918614373484
1070.2951562553321090.5903125106642190.70484374466789
1080.2826324114389680.5652648228779370.717367588561032
1090.3036163521645210.6072327043290430.696383647835479
1100.2701660113651030.5403320227302070.729833988634897
1110.2594058987931140.5188117975862280.740594101206886
1120.2626563865075630.5253127730151250.737343613492437
1130.2338853666436560.4677707332873120.766114633356344
1140.2095126404433920.4190252808867850.790487359556608
1150.4281821985145530.8563643970291050.571817801485447
1160.3799955276172880.7599910552345770.620004472382712
1170.3541685034470410.7083370068940810.645831496552959
1180.3187143063412840.6374286126825680.681285693658716
1190.2769154746339580.5538309492679160.723084525366042
1200.2783561253796730.5567122507593450.721643874620327
1210.2353386165215560.4706772330431110.764661383478444
1220.2016719133285530.4033438266571050.798328086671448
1230.2119201581320450.423840316264090.788079841867955
1240.1897258531175460.3794517062350930.810274146882454
1250.1537897323166920.3075794646333840.846210267683308
1260.1232407411483660.2464814822967320.876759258851634
1270.1638892778540820.3277785557081630.836110722145919
1280.1489764751245140.2979529502490280.851023524875486
1290.1367579788925670.2735159577851340.863242021107433
1300.1057135538486200.2114271076972400.89428644615138
1310.1278039803034340.2556079606068680.872196019696566
1320.1292801387533740.2585602775067480.870719861246626
1330.1142094328395980.2284188656791970.885790567160402
1340.08650454972829740.1730090994565950.913495450271703
1350.06457292410761090.1291458482152220.935427075892389
1360.05166844132109050.1033368826421810.94833155867891
1370.03561593016910330.07123186033820670.964384069830897
1380.03852422606614480.07704845213228960.961475773933855
1390.02856213303508410.05712426607016830.971437866964916
1400.1617791875442350.323558375088470.838220812455765
1410.1273764405742700.2547528811485390.87262355942573
1420.0877779713165090.1755559426330180.912222028683491
1430.2540377183719090.5080754367438180.745962281628091
1440.2095677485176250.4191354970352510.790432251482375
1450.2933376209085690.5866752418171380.706662379091431
1460.2266177756719760.4532355513439510.773382224328024
1470.1492242026279370.2984484052558740.850775797372063
1480.1086858275847110.2173716551694210.89131417241529
1490.06775264458974720.1355052891794940.932247355410253


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 level50.0357142857142857OK