Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 12.3537171110201 + 0.0061848539683367Concern[t] -0.277968257641376Doubts[t] + 0.107111545991711Expectations[t] + 0.0278119768219914Standards[t] + 0.156915805748762Organization[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.35371711102011.4349088.609400
Concern0.00618485396833670.0376420.16430.869720.43486
Doubts-0.2779682576413760.06854-4.05568.2e-054.1e-05
Expectations0.1071115459917110.0541971.97640.0500260.025013
Standards0.02781197682199140.0485860.57240.5679290.283964
Organization0.1569158057487620.0486363.22630.0015520.000776


Multiple Linear Regression - Regression Statistics
Multiple R0.455153141765681
R-squared0.20716438245917
Adjusted R-squared0.179635367961225
F-TEST (value)7.52531052190885
F-TEST (DF numerator)5
F-TEST (DF denominator)144
p-value2.64790903370393e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.05867599198798
Sum Squared Residuals610.293144958229


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.237676749569-3.23767674956899
21616.0436518200102-0.0436518200102288
31915.30510584980863.69489415019138
41513.83468655199381.1653134480062
51414.4991527236661-0.499152723666114
61315.11990077253-2.11990077253001
71915.0159121393083.98408786069198
81515.9552780263987-0.955278026398673
91415.7919941762064-1.79199417620643
101514.54030083845940.459699161540607
111614.70917206111121.29082793888877
121614.5081583339971.49184166600298
131614.53612339838541.46387660161461
141717.3692008128715-0.369200812871485
151512.22007925486162.7799207451384
161515.9784052913679-0.97840529136786
172016.98490168122233.01509831877772
181816.84649948443861.1535005155614
191617.1375388881396-1.13753888813958
201614.36131229504571.63868770495427
211914.50483140088674.49516859911328
221614.47794490115941.52205509884059
231716.00011566680810.999884333191923
241715.00913943299321.99086056700677
251614.65888928577741.34111071422255
261513.14583247664171.85416752335834
271415.6687417210632-1.6687417210632
281516.1315563710884-1.13155637108838
291214.6763499444261-2.67634994442608
301414.8530961849425-0.85309618494249
311615.12663397705490.873366022945099
321415.5986995668105-1.59869956681046
33714.1418162827441-7.14181628274409
341013.0082437267695-3.00824372676953
351414.3380319425102-0.338031942510166
361616.5280764979524-0.528076497952433
371614.24703120276121.75296879723879
381613.5650541464572.43494585354299
391415.34309680436-1.34309680435999
402018.06730145310941.93269854689056
411414.8736687804919-0.873668780491858
421415.108129766971-1.10812976697097
431114.3520151480577-3.3520151480577
441515.7685729328424-0.768572932842354
451615.57052242990710.429477570092938
461415.1010220034835-1.10102200348353
471614.25277984079941.74722015920055
481415.0433101812154-1.04331018121537
491215.4081204104562-3.40812041045617
501614.92888941897121.07111058102877
51913.673328209816-4.67332820981603
521414.2750540312293-0.275054031229348
531615.59687277581570.403127224184315
541614.97652255751751.02347744248246
551515.0507010730665-0.0507010730665349
561614.69606824456731.30393175543272
571213.4138868529087-1.41388685290866
581616.4524072391691-0.452407239169051
591616.1207526067982-0.12075260679821
601416.3828093530209-2.38280935302086
611612.44820778440493.55179221559515
621716.00907640991680.990923590083235
631814.58456731182443.41543268817564
641815.3969595382592.60304046174096
651214.4904952319956-2.49049523199564
661615.83286644905690.167133550943142
671014.3182316106513-4.31823161065129
681412.56325186733651.43674813266347
691815.34454781552332.65545218447667
701816.23744442814171.76255557185832
711615.52983334753180.470166652468223
721615.49415318415080.505846815849227
731614.72678178860061.27321821139936
741314.695053449334-1.69505344933404
751615.02966045585260.970339544147362
761614.76823251491641.23176748508362
772015.96852029203344.03147970796663
781615.25786675338360.742133246616405
791512.67811689768522.32188310231477
801515.3452887554362-0.345288755436168
811615.848786012650.151213987349972
821414.1044637626414-0.10446376264139
831513.22784224453531.77215775546466
841214.8664806881124-2.8664806881124
851716.01407447887990.985925521120118
861615.21618492650940.783815073490602
871512.99926956605412.0007304339459
881314.4158407684455-1.4158407684455
891615.97529299834820.0247070016518326
901615.30060554929980.699394450700157
911616.2412567081343-0.241256708134275
921615.87777135687050.122228643129508
931415.6097101492979-1.60971014929793
941614.2266524174371.77334758256299
951615.21842600853780.781573991462233
962016.42873162364333.57126837635668
971515.5416876056774-0.54168760567739
981614.13055145393281.86944854606722
991314.3489714691489-1.34897146914894
1001715.93295226327881.06704773672119
1011614.28622819519541.7137718048046
1021213.3344846738315-1.33448467383146
1031615.06695411684450.933045883155495
1041615.37490425164970.625095748350275
1051715.54132927690151.45867072309846
1061313.1969179746937-0.196917974693656
1071215.8841708509294-3.88417085092944
1081815.85485873199192.14514126800808
1091413.78071547191280.219284528087229
1101414.5468809554179-0.546880955417902
1111313.8035393596059-0.803539359605925
1121615.46015513249160.539844867508437
1131312.62155055136340.378449448636596
1141615.3677978348690.632202165131008
1151314.8762945057604-1.87629450576037
1161615.87048297048350.129517029516503
1171514.7827311702550.217268829745022
1181615.40432032720140.595679672798566
1191514.95160117203790.0483988279620662
1201715.67170214738541.32829785261461
1211515.8851225166506-0.885122516650605
1221213.6514492823763-1.6514492823763
1231614.44089499257921.55910500742083
1241014.2264598280807-4.22645982808073
1251614.32444277908391.67555722091608
1261414.7449208386032-0.744920838603168
1271516.4749559248351-1.4749559248351
1281314.5210053366415-1.52100533664155
1291515.4337746836742-0.433774683674172
1301113.7744896650045-2.7744896650045
1311214.2703404373367-2.27034043733666
132814.6012988711791-6.60129887117906
1331616.2835266176361-0.283526617636069
1341514.88943805437540.110561945624628
1351715.31977707587231.68022292412767
1361615.46195182057760.538048179422432
1371015.0690118825599-5.06901188255991
1381813.89904845203814.1009515479619
1391313.9545025069759-0.954502506975867
1401514.31655510936620.683444890633833
1411614.65888928577741.34111071422255
1421615.02538442459680.974615575403246
1431413.46431869708320.535681302916778
1441013.1271356772014-3.12713567720144
1451716.01407447887990.985925521120118
1461314.4004669878333-1.40046698783329
1471515.8851225166506-0.885122516650605
1481615.97140966250690.0285903374931292
1491215.3026117423253-3.30261174232529
1501313.5543242505955-0.554324250595498


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.5429379238058890.9141241523882220.457062076194111
100.8782424840644570.2435150318710860.121757515935543
110.8054715773140120.3890568453719770.194528422685989
120.7136225982971310.5727548034057380.286377401702869
130.6233169183611440.7533661632777110.376683081638856
140.5527604883604240.8944790232791510.447239511639576
150.5049135992398750.990172801520250.495086400760125
160.4286710421826490.8573420843652980.571328957817351
170.5011234413487380.9977531173025230.498876558651262
180.4215716526882510.8431433053765030.578428347311749
190.3508044341952360.7016088683904720.649195565804764
200.2890814887590660.5781629775181330.710918511240934
210.4810597397834550.962119479566910.518940260216545
220.4321528946505880.8643057893011750.567847105349412
230.3752376605257490.7504753210514970.624762339474251
240.3170794702670440.6341589405340880.682920529732956
250.2601417470678390.5202834941356780.739858252932161
260.22985776075250.4597155215050010.7701422392475
270.1854669203420360.3709338406840720.814533079657964
280.2547917351493580.5095834702987160.745208264850642
290.3356021465636140.6712042931272280.664397853436386
300.2895028172549760.5790056345099520.710497182745024
310.2504853930384210.5009707860768410.74951460696158
320.2141098020209690.4282196040419380.78589019797903
330.9094261850183660.1811476299632690.0905738149816343
340.944197700252120.1116045994957610.0558022997478807
350.9262929240362930.1474141519274150.0737070759637074
360.9110644578259530.1778710843480940.0889355421740472
370.898840474585330.2023190508293390.10115952541467
380.8917690849731230.2164618300537540.108230915026877
390.8724042435772250.255191512845550.127595756422775
400.8951220208537260.2097559582925470.104877979146274
410.8723930886159570.2552138227680860.127606911384043
420.8566894380279990.2866211239440020.143310561972001
430.9150866122308650.169826775538270.0849133877691349
440.8988296872612740.2023406254774520.101170312738726
450.8748880809780870.2502238380438260.125111919021913
460.851054486076210.2978910278475780.148945513923789
470.832913776089190.3341724478216190.16708622391081
480.8059892769270030.3880214461459930.194010723072997
490.8536381961674880.2927236076650240.146361803832512
500.8304473208875730.3391053582248530.169552679112427
510.921722230486860.1565555390262820.0782777695131409
520.9026440305947620.1947119388104760.097355969405238
530.8840677663495610.2318644673008780.115932233650439
540.868652818923370.262694362153260.13134718107663
550.8411532124458020.3176935751083950.158846787554198
560.8300856366730440.3398287266539130.169914363326956
570.8114266934440930.3771466131118130.188573306555907
580.7773134792350430.4453730415299130.222686520764957
590.7388977205508120.5222045588983770.261102279449188
600.7408637060783960.5182725878432080.259136293921604
610.8027346037967810.3945307924064380.197265396203219
620.7800641237570390.4398717524859220.219935876242961
630.8353733647670570.3292532704658860.164626635232943
640.8582630781832530.2834738436334930.141736921816747
650.8720540312033440.2558919375933130.127945968796656
660.8459184053016850.3081631893966290.154081594698315
670.921102758989260.1577944820214810.0788972410107406
680.9097801325394470.1804397349211070.0902198674605535
690.9285371103387360.1429257793225270.0714628896612637
700.9273512898388990.1452974203222020.072648710161101
710.9100990569496530.1798018861006940.0899009430503471
720.8903145240222230.2193709519555550.109685475977777
730.8772879616804150.2454240766391690.122712038319585
740.8679803320250850.2640393359498290.132019667974915
750.8471094065074550.305781186985090.152890593492545
760.8276945494624570.3446109010750870.172305450537543
770.9016377545421740.1967244909156510.0983622454578256
780.8822732696747070.2354534606505860.117726730325293
790.8889703309695450.2220593380609110.111029669030455
800.8647416776462650.2705166447074710.135258322353735
810.8367517783047780.3264964433904430.163248221695222
820.8091335821404330.3817328357191340.190866417859567
830.8092904315258170.3814191369483660.190709568474183
840.8390151565934650.3219696868130710.160984843406535
850.8146821221239090.3706357557521830.185317877876091
860.7858794998325030.4282410003349940.214120500167497
870.7908468922071340.4183062155857330.209153107792866
880.7709983343771450.458003331245710.229001665622855
890.7319643661614710.5360712676770580.268035633838529
900.6958258017065550.6083483965868910.304174198293445
910.6527001459165090.6945997081669830.347299854083491
920.6063521139187350.787295772162530.393647886081265
930.5912668154503650.817466369099270.408733184549635
940.6035007717458190.7929984565083620.396499228254181
950.5673865177002870.8652269645994260.432613482299713
960.6597282194513590.6805435610972820.340271780548641
970.6132829434775550.7734341130448890.386717056522445
980.6333689253685960.7332621492628090.366631074631404
990.6017561034017590.7964877931964830.398243896598241
1000.5748884039008470.8502231921983060.425111596099153
1010.5952356961641640.8095286076716730.404764303835836
1020.5609277239802920.8781445520394160.439072276019708
1030.5244349017789490.9511301964421020.475565098221051
1040.5023676239422660.9952647521154680.497632376057734
1050.5099429026642230.9801141946715540.490057097335777
1060.4577596003550510.9155192007101010.542240399644949
1070.5981103778032150.803779244393570.401889622196785
1080.6099475821095850.780104835780830.390052417890415
1090.612739705342230.774520589315540.38726029465777
1100.5627456126065250.874508774786950.437254387393475
1110.5096866955879080.9806266088241850.490313304412092
1120.4575857951758830.9151715903517660.542414204824117
1130.4297214441993510.8594428883987010.570278555800649
1140.3916848395015550.783369679003110.608315160498445
1150.3751242023464050.750248404692810.624875797653595
1160.3203624982119810.6407249964239620.679637501788019
1170.293603634048720.5872072680974410.70639636595128
1180.2965914524796920.5931829049593840.703408547520308
1190.2457278909257420.4914557818514840.754272109074258
1200.215313423463890.430626846927780.78468657653611
1210.1795921841551140.3591843683102280.820407815844886
1220.1641290072267050.328258014453410.835870992773295
1230.1557556167965690.3115112335931380.844244383203431
1240.2077577791015910.4155155582031820.792242220898409
1250.169605633416940.339211266833880.83039436658306
1260.1332296888157610.2664593776315210.86677031118424
1270.102609410260880.2052188205217590.89739058973912
1280.07911264153698070.1582252830739610.920887358463019
1290.05783197458757050.1156639491751410.94216802541243
1300.04868126665054420.09736253330108850.951318733349456
1310.03719881140397270.07439762280794530.962801188596027
1320.2419942231267280.4839884462534550.758005776873272
1330.1805046963328920.3610093926657830.819495303667108
1340.1312225076734460.2624450153468920.868777492326554
1350.1370962132458770.2741924264917550.862903786754123
1360.1000140355178350.200028071035670.899985964482165
1370.4444857938002940.8889715876005890.555514206199705
1380.6941659436259380.6116681127481240.305834056374062
1390.5768793237534210.8462413524931570.423120676246579
1400.4618090088426160.9236180176852320.538190991157384
1410.3330766975036290.6661533950072590.66692330249637


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 level20.0150375939849624OK