Multiple Linear Regression - Estimated Regression Equation
intrinsic[t] = + 54.3924753054961 -0.606890253799587Doubts[t] + 0.0642016921348219Parentalexpectations[t] -0.429106442448299Parentalcriticism[t] + 0.396721573130468organization[t] -1.23923857358372geslacht[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)54.392475305496110.048495.4131e-060
Doubts-0.6068902537995870.455825-1.33140.1868360.093418
Parentalexpectations0.06420169213482190.3979340.16130.8722340.436117
Parentalcriticism-0.4291064424482990.549566-0.78080.4372190.21861
organization0.3967215731304680.3306391.19990.2337330.116867
geslacht-1.239238573583722.426081-0.51080.6108990.305449


Multiple Linear Regression - Regression Statistics
Multiple R0.226823336640143
R-squared0.0514488260445678
Adjusted R-squared-0.00783562232764679
F-TEST (value)0.867830054208296
F-TEST (DF numerator)5
F-TEST (DF denominator)80
p-value0.506544612128841
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.0635117234388
Sum Squared Residuals9792.10333237338


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16857.236889076894310.7631109231057
24852.2297733160645-4.22977331606453
34453.9198918425276-9.91989184252756
46752.744286914577814.2557130854222
54653.3066624891288-7.30666248912881
65449.60993869841494.39006130158509
76155.09192491115355.90807508884654
85252.0338832959923-0.0338832959922875
94650.5284753842138-4.52847538421385
105553.42050608195681.57949391804322
115258.3277503376659-6.32775033766592
127654.837291894344121.1627081056559
134955.2203282954231-6.2203282954231
143056.3268599985937-26.3268599985937
157551.644063084150623.3559369158494
165149.19125792639491.80874207360515
175052.6186004274751-2.61860042747511
183857.8316749628075-19.8316749628075
194748.493476379088-1.49347637908802
205255.3501743455838-3.35017434558375
216654.704540465633911.2954595343661
226653.465301892050212.5346981079498
233353.3239698636125-20.3239698636125
244851.7737661417407-3.77376614174068
255753.99229456927163.00770543072841
266454.55011096887899.44988903112114
275854.38989076179223.61010923820777
285949.22529659210689.77470340789318
294252.6758753162767-10.6758753162767
303952.8081316907149-13.8081316907149
315953.25756897770325.7424310222968
323757.1000231844037-20.1000231844037
334951.4514580077461-2.45145800774610
348061.080479376596318.9195206234037
356250.857403748652411.1425962513476
364454.7857377155325-10.7857377155325
375350.7858501992542.21414980074603
385855.07580397277982.92419602722019
396953.418095757679215.5819042423208
406353.42298640657619.57701359342393
413648.9624625406883-12.9624625406883
423854.7857377155325-16.7857377155325
434654.663386515206-8.663386515206
445653.15105180009432.84894819990572
453750.332140652978-13.332140652978
465151.4248441915266-0.424844191526596
474454.7926645188658-10.7926645188658
485855.13338543447072.86661456552932
493754.5991848230712-17.5991848230712
506555.02829126551959.97170873448052
514855.5215994001026-7.5215994001026
525353.2518482677133-0.251848267713267
535152.6285305026507-1.62853050265070
543951.8750803127521-12.8750803127521
556455.90711612580098.09288387419915
564754.8738363267199-7.87383632671991
574755.9828292382572-8.98282923825722
586448.165971023307215.8340289766928
595958.05061272458660.949387275413355
605452.02381454156181.97618545843824
615555.8238832624465-0.823883262446517
627254.51772609956117.4822739004390
635854.48831960102173.51168039897835
645953.08741815446035.9125818455397
653649.0384371267561-13.0384371267561
666257.26596410148034.7340358985197
676358.7461950781194.25380492188101
685054.8656352921107-4.86563529211069
697056.40557692387313.5944230761269
705953.20849512351095.79150487648912
717353.329429099990919.6705709000091
726254.81786111123887.18213888876115
734153.3266867607795-12.3266867607795
745654.06557191540581.9344280845942
755254.4359608031616-2.43596080316155
765451.63713628081732.36286371918271
777351.671250731682221.3287492683178
784049.9375424884691-9.93754248846911
794154.429934061263-13.4299340612630
805453.66885034227530.331149657724668
814249.0305426650362-7.03054266503625
827054.301198662059515.6988013379405
835152.3148484571957-1.31484845719565
846056.93675406521633.06324593478370
854954.2263601689933-5.22636016899328
865256.1597384302183-4.15973843021834


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.2908504612462450.581700922492490.709149538753755
100.2770462291969930.5540924583939860.722953770803007
110.3650751223395220.7301502446790440.634924877660478
120.4277061667075160.8554123334150330.572293833292484
130.4332562629824470.8665125259648940.566743737017553
140.7788293360138840.4423413279722320.221170663986116
150.9368773416929870.1262453166140270.0631226583070135
160.923837096857310.1523258062853800.0761629031426902
170.8862075235239240.2275849529521520.113792476476076
180.8934840346225490.2130319307549020.106515965377451
190.8684369277908660.2631261444182670.131563072209134
200.8242887365705380.3514225268589240.175711263429462
210.798783481822970.4024330363540600.201216518177030
220.7798916435396980.4402167129206040.220108356460302
230.919362002011990.1612759959760190.0806379979880094
240.8899636147200870.2200727705598270.110036385279913
250.8530625677231690.2938748645536620.146937432276831
260.8461207791781020.3077584416437950.153879220821898
270.8045694121133090.3908611757733820.195430587886691
280.7753603535592340.4492792928815320.224639646440766
290.756913871270550.4861722574588990.243086128729450
300.789493902648380.4210121947032410.210506097351620
310.7436438706709020.5127122586581960.256356129329098
320.8055062790320560.3889874419358880.194493720967944
330.7623813745633950.475237250873210.237618625436605
340.8754141164420230.2491717671159530.124585883557977
350.8833811405946280.2332377188107440.116618859405372
360.8785328913141950.2429342173716110.121467108685805
370.8451754451462650.309649109707470.154824554853735
380.8056502977857610.3886994044284770.194349702214239
390.8470534133937480.3058931732125040.152946586606252
400.8564960911131810.2870078177736370.143503908886819
410.8816057502741830.2367884994516350.118394249725817
420.9215109560021650.1569780879956690.0784890439978344
430.9155453876640420.1689092246719150.0844546123359575
440.8918349656238780.2163300687522440.108165034376122
450.9088777638214410.1822444723571170.0911222361785586
460.8818135227524060.2363729544951870.118186477247594
470.881916374181520.2361672516369620.118083625818481
480.8510151655101330.2979696689797340.148984834489867
490.9320327102379710.1359345795240580.067967289762029
500.922055837207920.1558883255841600.0779441627920798
510.9306237189152070.1387525621695850.0693762810847925
520.9058017058699680.1883965882600640.094198294130032
530.8757803196634860.2484393606730270.124219680336514
540.8889126751069450.2221746497861090.111087324893055
550.9019944584119760.1960110831760470.0980055415880237
560.8753637731209770.2492724537580460.124636226879023
570.8601406412212680.2797187175574650.139859358778732
580.8753966663565930.2492066672868150.124603333643407
590.857284169560820.2854316608783610.142715830439180
600.8206346765113080.3587306469773850.179365323488693
610.7982439997013830.4035120005972340.201756000298617
620.9245154475364860.1509691049270290.0754845524635143
630.9070821703003670.1858356593992660.0929178296996332
640.8711978409115660.2576043181768690.128802159088434
650.9212260472905290.1575479054189420.078773952709471
660.967155193203610.06568961359278020.0328448067963901
670.975170434123910.04965913175217870.0248295658760894
680.9572896835159120.08542063296817670.0427103164840883
690.9495227874747620.1009544250504760.0504772125252382
700.9170046971560030.1659906056879930.0829953028439966
710.9644898074873010.07102038502539720.0355101925126986
720.9848650120863270.03026997582734600.0151349879136730
730.9712658167257980.05746836654840330.0287341832742017
740.9433218409308930.1133563181382140.0566781590691069
750.9769543478211990.04609130435760230.0230456521788011
760.9413283399294820.1173433201410370.0586716600705183
770.8673000790107040.2653998419785920.132699920989296


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0434782608695652OK
10% type I error level70.101449275362319NOK