Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 13.1917916230188 + 0.00507035408271898Concern[t] -0.278495426258174Doubts[t] + 0.102339576505264Expectations[t] + 0.0218241062211261Standards[t] + 0.149071998317463Organization[t] -0.00581208015894894t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)13.19179162301881.5386498.573600
Concern0.005070354082718980.0374990.13520.8926340.446317
Doubts-0.2784954262581740.068266-4.07967.5e-053.7e-05
Expectations0.1023395765052640.0540771.89250.0604480.030224
Standards0.02182410622112610.0485630.44940.6538240.326912
Organization0.1490719983174630.0487343.05890.0026530.001327
t-0.005812080158948940.003953-1.47020.1437080.071854


Multiple Linear Regression - Regression Statistics
Multiple R0.467941938785642
R-squared0.218969658074466
Adjusted R-squared0.186199154217451
F-TEST (value)6.6819130712752
F-TEST (DF numerator)6
F-TEST (DF denominator)143
p-value2.98374156970649e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.05042365740092
Sum Squared Residuals601.205916000599


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.6188461737307-3.6188461737307
21616.433539970758-0.433539970757996
31915.75229803589743.24770196410265
41514.27167394966750.72832605033253
51414.9916988963256-0.991698896325595
61315.5607953284484-2.56079532844845
71915.37779400643873.62220599356127
81516.2923341433693-1.29233414336929
91416.1515845429881-2.15158454298806
101514.87600247743790.123997522562093
111615.05107666773650.94892333226353
121614.89792438690561.10207561309442
131614.86437295844231.13562704155769
141717.6469419078106-0.646941907810596
151512.59121321122292.40878678877711
161516.2937550286648-1.29375502866482
172017.18858743623992.81141256376011
181817.09349367351790.906506326482109
191617.3157040045319-1.31570400453186
201614.68993509482811.31006490517191
211914.82368275527564.17631724472436
221614.72202498992231.27797501007769
231716.18791716851540.812082831484633
241715.28642303776111.71357696223893
251614.9663689890741.03363101092601
261513.51665550061611.48334449938387
271415.9576845305297-1.95768453052971
281516.3465243130601-1.34652431306008
291214.9445589498498-2.94455894984981
301415.1441621067236-1.1441621067236
311615.40951340983220.590486590167794
321415.8547217034238-1.85472170342379
33714.3910419308745-7.39104193087447
341013.2614635688658-3.26146356886583
351414.6043998204022-0.60439982040218
361616.7754676568077-0.775467656807679
371614.44702045432351.55297954567652
381613.84414110481742.15585889518264
391415.5295400375299-1.52954003752993
402018.20453142905921.79546857094084
411415.0279400332493-1.02794003324931
421415.2539771105999-1.25397711059986
431114.5476592328971-3.54765923289707
441515.9316846998921-0.93168469989212
451615.74918599168370.250814008316335
461415.2603672428834-1.26036724288341
471614.40003607452281.59996392547725
481415.2402515274475-1.2402515274475
491215.547054913684-3.54705491368401
501615.01983089602760.980169103972404
51913.9636042445511-4.96360424455107
521414.485945603947-0.485945603946969
531615.74189888431520.258101115684824
541615.16037870570350.839621294296542
551515.2134259002349-0.213425900234918
561614.84896022529271.15103977470734
571213.5419603216229-1.54196032162286
581616.5257657424622-0.525765742462179
591616.176343502517-0.176343502517003
601416.3951085305603-2.39510853056028
611612.60044799626793.39955200373214
621715.98479666364911.01520333635086
631814.70784047482363.29215952517635
641815.42264826466472.57735173533533
651214.5023541910462-2.50235419104622
661615.86658494091770.133415059082348
671014.3924286389481-4.3924286389481
681412.71122769023941.28877230976062
691815.41616953461752.58383046538255
701816.26684560236841.73315439763157
711615.53257810838340.46742189161659
721615.48791262566980.512087374330196
731614.72504007086331.27495992913671
741314.6772848128695-1.67728481286954
751615.06067434097310.939325659026948
761614.77320115099841.22679884900157
772015.94312486880094.05687513119906
781615.23767330727320.762326692726783
791512.81096065432012.18903934567988
801515.2901684502364-0.290168450236375
811615.79425749902260.205742500977424
821414.0343154660725-0.0343154660724661
831513.22339720999071.77660279000925
841214.9075084558678-2.90750845586783
851715.952697092461.04730290753996
861615.12804807718630.871951922813655
871513.04412334693371.95587665306625
881314.3138981661038-1.31389816610381
891615.86594551286910.134054487130918
901615.20697142242840.793028577571585
911616.1308306340966-0.130830634096586
921615.76989145293620.23010854706376
931415.5511003966015-1.55110039660146
941614.07043891527341.92956108472664
951615.04483492755190.95516507244812
962016.26803943858023.73196056141977
971515.3971403052019-0.397140305201947
981613.99576660100592.00423339899415
991314.2975629042617-1.29756290426171
1001715.76560942157131.23439057842874
1011614.07031279132281.92968720867717
1021213.2268880271215-1.22688802712149
1031614.91640484467821.08359515532182
1041615.14041281630760.859587183692447
1051715.34998877071941.65001122928063
1061313.0643675959213-0.064367595921327
1071215.7061858506417-3.70618585064166
1081815.64738588983292.35261411016713
1091413.54210250310890.457897496891092
1101414.3383780014259-0.338378001425947
1111313.641649460122-0.641649460122025
1121615.27509918681650.724900813183524
1131312.49567457159020.504325428409848
1141615.11918192347470.880818076525294
1151314.6838321886214-1.68383218862135
1161615.63993204224750.360067957752462
1171514.51912634546220.48087365453776
1181615.09229624763390.907703752366064
1191514.73495268341030.26504731658967
1201715.42368796665691.5763120333431
1211515.6132150879246-0.613215087924564
1221213.474489808847-1.47448980884695
1231614.21530369555991.78469630444011
1241013.9470944444123-3.9470944444123
1251614.1766339659391.82336603406102
1261414.5004486764702-0.500448676470243
1271516.0995257007937-1.09952570079375
1281314.2370341590664-1.23703415906641
1291515.1067256678637-0.106725667863693
1301113.4595577191945-2.45955771919452
1311213.97596184158-1.97596184157998
132814.245371870554-6.24537187055398
1331615.9407865618130.0592134381870081
1341514.51596047519470.484039524805347
1351715.02849643325691.97150356674313
1361615.09601977642480.903980223575158
1371014.6532788396021-4.65327883960213
1381813.63108958366484.3689104163352
1391313.5200642166552-0.520064216655248
1401513.96368751533571.0363124846643
1411614.29216769063591.70783230936408
1421614.62162092864471.3783790713553
1431413.07833407596050.921665924039515
1441012.7902445582836-2.79024455828365
1451715.60397228292311.3960277170769
1461313.9902062596416-0.990206259641559
1471515.4621010037919-0.462101003791891
1481615.55121469958370.448785300416284
1491214.9214999964229-2.92149999642287
1501313.2788983865779-0.278898386577896


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9098662106035690.1802675787928620.0901337893964308
110.8335244753901710.3329510492196570.166475524609829
120.7368128502018410.5263742995963180.263187149798159
130.6734215757368420.6531568485263160.326578424263158
140.655255735979480.6894885280410390.344744264020519
150.6015441028561760.7969117942876490.398455897143824
160.5096326731055150.9807346537889710.490367326894485
170.58392024165490.83215951669020.4160797583451
180.5030979386659110.9938041226681780.496902061334089
190.4283303251256420.8566606502512850.571669674874358
200.3570040860076920.7140081720153830.642995913992308
210.4543096951198210.9086193902396430.545690304880179
220.4239559913264760.8479119826529510.576044008673524
230.3544052424332030.7088104848664060.645594757566797
240.298549821815860.597099643631720.70145017818414
250.2467715943924380.4935431887848760.753228405607562
260.2422008141080750.4844016282161490.757799185891925
270.2066657694723370.4133315389446740.793334230527663
280.2948889748995280.5897779497990550.705111025100472
290.3703288811462780.7406577622925550.629671118853722
300.3145969420126660.6291938840253320.685403057987334
310.2825223222146060.5650446444292120.717477677785394
320.2395546205048430.4791092410096850.760445379495157
330.8892432684071490.2215134631857030.110756731592851
340.916915341570290.1661693168594220.0830846584297108
350.8966224900667630.2067550198664740.103377509933237
360.8958921523273480.2082156953453030.104107847672652
370.8914632194979080.2170735610041850.108536780502092
380.8903193137013040.2193613725973920.109680686298696
390.8679972212199260.2640055575601490.132002778780074
400.9048991714356920.1902016571286160.095100828564308
410.8821604049620970.2356791900758060.117839595037903
420.8616736168232440.2766527663535120.138326383176756
430.9062448833795050.1875102332409910.0937551166204954
440.8843002139590720.2313995720818560.115699786040928
450.8638408090032960.2723183819934090.136159190996704
460.8392342486159150.3215315027681710.160765751384085
470.8258622265273560.3482755469452870.174137773472644
480.7983616290138550.403276741972290.201638370986145
490.839198692521270.321602614957460.16080130747873
500.8228189540158040.3543620919683920.177181045984196
510.920399862058420.1592002758831590.0796001379415793
520.9096732967107630.1806534065784740.0903267032892368
530.9029464276724640.1941071446550720.0970535723275361
540.8967648426121830.2064703147756340.103235157387817
550.8804698004374680.2390603991250640.119530199562532
560.8789949060161440.2420101879677120.121005093983856
570.8681780035356750.263643992928650.131821996464325
580.8455193407005730.3089613185988540.154480659299427
590.8201758733006970.3596482533986050.179824126699303
600.8364054915668550.327189016866290.163594508433145
610.8779154987044940.2441690025910110.122084501295506
620.8636953871698960.2726092256602070.136304612830104
630.8968552011533440.2062895976933110.103144798846656
640.9098812101213030.1802375797573950.0901187898786975
650.9280391524381820.1439216951236350.0719608475618177
660.9129213720229810.1741572559540370.0870786279770186
670.9686331479849880.06273370403002360.0313668520150118
680.9612609016381870.07747819672362640.0387390983618132
690.9685502943806070.0628994112387850.0314497056193925
700.9669364087384490.06612718252310270.0330635912615513
710.9577006115874940.08459877682501160.0422993884125058
720.946803271791070.1063934564178580.0531967282089289
730.9347522492932850.1304955014134290.0652477507067145
740.9405374120320940.1189251759358120.0594625879679058
750.9289480739388570.1421038521222860.0710519260611432
760.9142184046898370.1715631906203250.0857815953101626
770.946059779835310.1078804403293790.0539402201646893
780.931456977526950.1370860449461020.0685430224730511
790.9244841630434140.1510316739131720.0755158369565861
800.909273801887420.1814523962251590.0907261981125796
810.8880294115684460.2239411768631080.111970588431554
820.865262034357460.2694759312850810.134737965642541
830.8527680925787540.2944638148424910.147231907421246
840.9006391789560480.1987216420879040.0993608210439518
850.8849147320339920.2301705359320160.115085267966008
860.8596858987690450.2806282024619110.140314101230955
870.8429927201059060.3140145597881880.157007279894094
880.8362447531424220.3275104937151560.163755246857578
890.8076816248567240.3846367502865520.192318375143276
900.7721284184257590.4557431631484830.227871581574241
910.742826409376070.5143471812478590.257173590623929
920.7046774553665530.5906450892668940.295322544633447
930.7353282304597250.529343539080550.264671769540275
940.7252227866880350.549554426623930.274777213311965
950.6854870999360910.6290258001278180.314512900063909
960.7317827569847870.5364344860304250.268217243015213
970.6968880272998520.6062239454002960.303111972700148
980.6892946684687450.6214106630625110.310705331531256
990.679774530300790.6404509393984210.32022546969921
1000.6373906274461880.7252187451076240.362609372553812
1010.6197627994797610.7604744010404790.380237200520239
1020.5916465944077180.8167068111845630.408353405592282
1030.5441070848541740.9117858302916520.455892915145826
1040.5077329585916580.9845340828166840.492267041408342
1050.4922328085452720.9844656170905430.507767191454728
1060.4398458403674150.879691680734830.560154159632585
1070.6183418464292540.7633163071414920.381658153570746
1080.6069794712754390.7860410574491230.393020528724561
1090.5926030385370550.814793922925890.407396961462945
1100.5404205505118820.9191588989762350.459579449488118
1110.488533124625310.977066249250620.51146687537469
1120.4328199718172750.865639943634550.567180028182725
1130.3977302741008470.7954605482016940.602269725899153
1140.3585687618079340.7171375236158670.641431238192066
1150.3462784438944170.6925568877888340.653721556105583
1160.2929923292137890.5859846584275780.707007670786211
1170.2633116930309450.526623386061890.736688306969055
1180.2657808099929120.5315616199858230.734219190007088
1190.2171907590382450.434381518076490.782809240961755
1200.1914063105394770.3828126210789540.808593689460523
1210.1550428882197860.3100857764395710.844957111780214
1220.1393199308309810.2786398616619620.860680069169019
1230.132175855163480.2643517103269590.86782414483652
1240.1768503421337630.3537006842675270.823149657866237
1250.143708970182030.2874179403640610.85629102981797
1260.1163241918628260.2326483837256530.883675808137174
1270.0879131512484060.1758263024968120.912086848751594
1280.07271715594162970.1454343118832590.92728284405837
1290.05081115666213140.1016223133242630.949188843337869
1300.05119744630323240.1023948926064650.948802553696768
1310.04255165577455470.08510331154910940.957448344225445
1320.4336329058514380.8672658117028750.566367094148562
1330.3476600554818190.6953201109636370.652339944518181
1340.2852272668837660.5704545337675320.714772733116234
1350.2304007638944760.4608015277889520.769599236105524
1360.1756389789797250.351277957959450.824361021020275
1370.7337130368350010.5325739263299970.266286963164999
1380.6579800424713670.6840399150572660.342019957528633
1390.5400680042190570.9198639915618860.459931995780943
1400.3849276689353540.7698553378707080.615072331064646


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