Multiple Linear Regression - Estimated Regression Equation
neat[t] = + 1.27617742427754 + 0.237668039388989fail[t] -0.191182456604179performance[t] + 0.0507848541828642goals[t] + 0.466836776775649`organized `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.276177424277540.4659912.73860.0068970.003449
fail0.2376680393889890.0753363.15480.0019320.000966
performance-0.1911824566041790.0754-2.53560.0122230.006111
goals0.05078485418286420.0761440.6670.5057970.252898
`organized `0.4668367767756490.0894335.221e-060


Multiple Linear Regression - Regression Statistics
Multiple R0.520144238515198
R-squared0.270550028860555
Adjusted R-squared0.251603276363426
F-TEST (value)14.2794934858393
F-TEST (DF numerator)4
F-TEST (DF denominator)154
p-value6.16247053386587e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.88938019219216
Sum Squared Residuals121.813557444620


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
144.57299042583907-0.572990425839068
243.630817570285390.369182429714611
344.19492478402872-0.194924784028715
443.580032716102530.419967283897474
542.972798336905561.02720166309444
654.046869492878180.953130507121824
743.010784617688040.989215382311956
833.34236467671354-0.342364676713538
943.291579822530670.708420177469326
1043.630817570285390.369182429714608
1143.338065405315480.661934594684516
1242.955700492107131.04429950789287
1343.338065405315480.661934594684516
1423.01162623096115-1.01162623096115
1533.3931495308964-0.393149530896403
1643.952957473241670.0470425267583285
1733.33806540531548-0.338065405315484
1822.40439185176419-0.404391851764187
1943.197667802894170.802332197105831
2033.19766780289417-0.197667802894169
2133.81770075549152-0.817700755491517
2243.914971192459190.0850288075408088
2333.38885025949835-0.388850259498348
2433.33806540531548-0.338065405315484
2543.804902182091130.195097817908867
2643.010784617688040.989215382311956
2743.439635113681210.560364886318787
2843.388850259498350.611149740501652
2943.439635113681210.560364886318787
3043.338065405315480.661934594684516
3154.381807969234840.61819203076516
3243.248452657077030.751547342922967
3343.032082493090760.967917506909242
3444.19492478402872-0.194924784028715
3533.20196707429222-0.201967074292223
3644.38180796923484-0.38180796923484
3733.6773031530702-0.677303153070202
3843.529247861919660.470752138080337
3943.914971192459190.0850288075408088
4033.63081757028539-0.630817570285392
4154.144139929845850.85586007015415
4243.626518298887340.373481701112662
4333.33806540531548-0.338065405315484
4433.61801899688501-0.618018996885008
4533.43963511368121-0.439635113681213
4642.959999763505181.04000023649482
4743.338065405315480.661934594684516
4843.914971192459190.0850288075408088
4943.439635113681210.560364886318787
5043.006485346289990.99351465371001
5143.630817570285390.369182429714608
5243.388850259498350.611149740501652
5353.906471890456861.09352810954314
5432.824743045755030.175256954244975
5532.866087743868670.133912256131325
5654.144139929845850.85586007015415
5753.906471890456861.09352810954314
5843.439635113681210.560364886318787
5943.809201453489190.190798546510813
6032.115938958192330.884061041807667
6143.388850259498350.611149740501652
6243.388850259498350.611149740501652
6353.201967074292221.79803292570778
6443.338065405315480.661934594684516
6543.342364676713540.657635323286462
6654.623775280021880.376224719978117
6743.914971192459190.0850288075408088
6833.20196707429222-0.201967074292223
6943.342364676713540.657635323286462
7043.67730315307020.322696846929798
7143.346564707317810.653435292682186
7243.580032716102530.419967283897472
7344.19062551263066-0.190625512630661
7444.1398406584478-0.139840658447796
7543.486120696466020.513879303533977
7633.91497119245919-0.914971192459191
7743.8556870362740.144312963726003
7833.38885025949835-0.388850259498348
7953.996084638695311.00391536130469
8042.590433423697211.40956657630279
8153.197667802894171.80233219710583
8253.338065405315481.66193459468452
8343.338065405315480.661934594684516
8443.151182220109360.84881777989064
8544.2337526780843-0.233752678084301
8643.575733444704470.424266555295527
8743.248452657077030.751547342922967
8854.572990425839020.427009574160981
8943.448134415683540.551865584316458
9033.33806540531548-0.338065405315484
9143.338065405315480.661934594684516
9233.85998630767205-0.859986307672051
9343.291579822530670.708420177469326
9442.684345443333711.31565455666629
9543.8556870362740.144312963726003
9643.574891831431370.425108168568633
9744.09335507566299-0.0933550756629864
9833.53260627925083-0.532606279250833
9933.58003271610253-0.580032716102528
10033.14688294871130-0.146882948711305
10133.91497119245919-0.914971192459191
10233.38885025949835-0.388850259498348
10322.31047983212768-0.310479832127682
10433.19766780289417-0.197667802894169
10553.906471890456861.09352810954314
10623.02012553296348-1.02012553296348
10723.11319593932688-1.11319593932688
10832.642059891153180.357940108846824
10933.19766780289417-0.197667802894169
11023.43963511368121-1.43963511368121
11123.15118222010936-1.15118222010936
11242.972798336905561.02720166309444
11332.123596646921560.876403353078443
11412.34846611291016-1.34846611291016
11512.67920455866255-1.67920455866255
11612.31477910352574-1.31477910352574
11723.19336853149611-1.19336853149611
11823.00648534628999-1.00648534628999
11932.314779103525740.685220896474264
12012.63356058915085-1.63356058915085
12132.352765384308220.647234615691784
12212.9220134827227-1.9220134827227
12323.24845265707703-1.24845265707703
12413.20196707429222-2.20196707429222
12523.43963511368121-1.43963511368121
12623.21046637629455-1.21046637629455
12732.870387015266730.129612984733271
12823.10805505465572-1.10805505465572
12923.10805505465572-1.10805505465572
13042.174381501104421.82561849889558
13123.24845265707703-1.24845265707703
13233.90647189045686-0.906471890456861
13322.87038701526673-0.87038701526673
13413.01078461768804-2.01078461768804
13523.43963511368121-1.43963511368121
13633.06576950247518-0.065769502475184
13711.84794232675009-0.847942326750087
13823.14688294871131-1.14688294871131
13922.78161588030139-0.781615880301385
14032.680046171935660.319953828064344
14132.730831026118520.269168973881480
14231.656759870145911.34324012985409
14343.426737299487050.57326270051295
14443.668803851067870.331196148932128
14523.86418633827633-1.86418633827633
14632.590433423697210.409566576302794
14733.48612069646602-0.486120696466023
14822.78161588030139-0.781615880301385
14913.4784630077368-2.4784630077368
15023.33806540531548-1.33806540531548
15122.81960216108387-0.819602161083865
15243.52410697724850.475893022751497
15342.696203162667211.30379683733279
15422.87122862853984-0.871228628539835
15532.726531754720470.273468245279534
15623.24845265707703-1.24845265707703
15743.439635113681210.560364886318787
15822.59043342369721-0.590433423697206
15943.914971192459190.0850288075408088


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3945755677953160.7891511355906320.605424432204684
90.2395377199181830.4790754398363650.760462280081817
100.1454953541340540.2909907082681090.854504645865946
110.08433734387013680.1686746877402740.915662656129863
120.04564860572478680.09129721144957350.954351394275213
130.02217963545936060.04435927091872130.97782036454064
140.07721356031679220.1544271206335840.922786439683208
150.09100824546487110.1820164909297420.908991754535129
160.07362432583886170.1472486516777230.926375674161138
170.06505483980352370.1301096796070470.934945160196476
180.04452901527541720.08905803055083440.955470984724583
190.02833499590521030.05666999181042050.97166500409479
200.02954258786398230.05908517572796450.970457412136018
210.02152335782696780.04304671565393560.978476642173032
220.01589316591860650.03178633183721300.984106834081394
230.01389962438854050.02779924877708090.98610037561146
240.01017040357894840.02034080715789680.989829596421052
250.005971455001978970.01194291000395790.994028544998021
260.003666458938766910.007332917877533820.996333541061233
270.002215755983671150.00443151196734230.997784244016329
280.001488367052961070.002976734105922150.998511632947039
290.0008676171465433670.001735234293086730.999132382853457
300.0006861804975397710.001372360995079540.99931381950246
310.0006540570966199720.001308114193239940.99934594290338
320.0003751596618762430.0007503193237524860.999624840338124
330.0005932741640888930.001186548328177790.99940672583591
340.0004907229854773480.0009814459709546960.999509277014523
350.0005054388475839180.001010877695167840.999494561152416
360.0003445273225212160.0006890546450424330.999655472677479
370.0004431114443206630.0008862228886413250.99955688855568
380.0003742360194198170.0007484720388396340.99962576398058
390.0002115538399956930.0004231076799913860.999788446160004
400.0001936486047937720.0003872972095875450.999806351395206
410.0001974336914148700.0003948673828297390.999802566308585
420.0001203740607605410.0002407481215210810.99987962593924
438.78279734878803e-050.0001756559469757610.999912172026512
440.0001160590968199800.0002321181936399590.99988394090318
450.0001093774632809540.0002187549265619090.999890622536719
468.6541263606332e-050.0001730825272126640.999913458736394
476.6506798025166e-050.0001330135960503320.999933493201975
483.71144383431998e-057.42288766863996e-050.999962885561657
492.32317195437311e-054.64634390874622e-050.999976768280456
501.53716439815283e-053.07432879630566e-050.999984628356019
519.9920480194896e-061.99840960389792e-050.99999000795198
526.66297475627693e-061.33259495125539e-050.999993337025244
539.11324777437129e-061.82264955487426e-050.999990886752226
545.07782718166808e-061.01556543633362e-050.999994922172818
557.54678800433379e-061.50935760086676e-050.999992453211996
567.48803992864586e-061.49760798572917e-050.999992511960071
579.39506845062826e-061.87901369012565e-050.99999060493155
585.92005185221844e-061.18401037044369e-050.999994079948148
593.35366167872601e-066.70732335745202e-060.999996646338321
603.13613778421466e-066.27227556842931e-060.999996863862216
612.11147218697081e-064.22294437394161e-060.999997888527813
621.41848518353778e-062.83697036707557e-060.999998581514816
638.0320330368929e-061.60640660737858e-050.999991967966963
646.24925277931202e-061.24985055586240e-050.99999375074722
654.92312557777087e-069.84625115554175e-060.999995076874422
663.49220297400520e-066.98440594801039e-060.999996507797026
671.94513179529554e-063.89026359059109e-060.999998054868205
681.86640457540459e-063.73280915080918e-060.999998133595425
691.53850558414448e-063.07701116828895e-060.999998461494416
709.06753993850674e-071.81350798770135e-060.999999093246006
718.0028170235294e-071.60056340470588e-060.999999199718298
725.48989913205184e-071.09797982641037e-060.999999451010087
733.64519053103312e-077.29038106206624e-070.999999635480947
742.13263201289525e-074.26526402579049e-070.999999786736799
751.28941554950695e-072.57883109901390e-070.999999871058445
761.99836599440161e-073.99673198880322e-070.9999998001634
771.17428939642933e-072.34857879285865e-070.99999988257106
789.94621335313256e-081.98924267062651e-070.999999900537866
792.22850509113330e-074.45701018226659e-070.99999977714949
803.32962942065282e-076.65925884130564e-070.999999667037058
812.38318763583848e-064.76637527167696e-060.999997616812364
821.74399580483271e-053.48799160966542e-050.999982560041952
831.69351320944401e-053.38702641888802e-050.999983064867906
842.13241412360098e-054.26482824720195e-050.999978675858764
851.40654288902314e-052.81308577804628e-050.99998593457111
861.1486792406358e-052.2973584812716e-050.999988513207594
871.06458979016536e-052.12917958033073e-050.999989354102098
881.08774030185536e-052.17548060371072e-050.999989122596981
898.77071227284339e-061.75414245456868e-050.999991229287727
907.63629623074312e-061.52725924614862e-050.99999236370377
919.65878912110816e-061.93175782422163e-050.999990341210879
921.35481600014219e-052.70963200028437e-050.999986451839999
933.00541278291332e-056.01082556582664e-050.999969945872171
940.0001247759294425310.0002495518588850610.999875224070558
950.0001382002676035020.0002764005352070040.999861799732396
960.0001232769437741980.0002465538875483960.999876723056226
970.0001103847531243110.0002207695062486210.999889615246876
980.0001311536994902700.0002623073989805400.99986884630051
990.0001326336133846040.0002652672267692080.999867366386615
1000.0001367172912235420.0002734345824470850.999863282708776
1010.0001516423807107630.0003032847614215260.99984835761929
1020.0001479491538456650.0002958983076913300.999852050846154
1030.0001530436809305340.0003060873618610670.99984695631907
1040.0001416688669127580.0002833377338255150.999858331133087
1050.001039335935489580.002078671870979150.99896066406451
1060.0009464049425503540.001892809885100710.99905359505745
1070.001157546400793070.002315092801586140.998842453599207
1080.0009937918133897150.001987583626779430.99900620818661
1090.0009786384753257430.001957276950651490.999021361524674
1100.002064184186724310.004128368373448630.997935815813276
1110.003195627976450470.006391255952900950.99680437202355
1120.007880704999763020.01576140999952600.992119295000237
1130.007044283799890390.01408856759978080.99295571620011
1140.02393270825912370.04786541651824740.976067291740876
1150.09674618481707250.1934923696341450.903253815182927
1160.1402184563512570.2804369127025140.859781543648743
1170.1623403804793050.3246807609586110.837659619520695
1180.1708921408037510.3417842816075020.829107859196249
1190.1739995386054680.3479990772109360.826000461394532
1200.2025084140220320.4050168280440630.797491585977968
1210.1938155384393150.387631076878630.806184461560685
1220.262995315789250.52599063157850.73700468421075
1230.268166598284520.536333196569040.73183340171548
1240.3739799199537620.7479598399075230.626020080046239
1250.3694744076587260.7389488153174510.630525592341274
1260.3564193700144230.7128387400288460.643580629985577
1270.3161361273906090.6322722547812180.683863872609391
1280.3374130505224230.6748261010448450.662586949477577
1290.3749471248826260.7498942497652520.625052875117374
1300.5332728302732510.9334543394534990.466727169726749
1310.5311929396616990.9376141206766020.468807060338301
1320.4831655947245140.9663311894490280.516834405275486
1330.4730222279233170.9460444558466340.526977772076683
1340.6451075991003620.7097848017992760.354892400899638
1350.6365974592109470.7268050815781050.363402540789053
1360.5837340520462780.8325318959074440.416265947953722
1370.5852807733321450.829438453335710.414719226667855
1380.5474409829899990.9051180340200020.452559017010001
1390.5214111731124570.9571776537750850.478588826887543
1400.5135842608449530.9728314783100950.486415739155047
1410.4746027526228880.9492055052457760.525397247377112
1420.560033612380850.87993277523830.43996638761915
1430.5079415988951950.984116802209610.492058401104805
1440.5700061189753890.8599877620492220.429993881024611
1450.7391303222163380.5217393555673240.260869677783662
1460.70329217069840.5934156586031990.296707829301600
1470.6408800731751520.7182398536496960.359119926824848
1480.5318184064088820.9363631871822360.468181593591118
1490.603304650923590.793390698152820.39669534907641
1500.5460846107704350.907830778459130.453915389229565
1510.3899652740615810.7799305481231620.610034725938419


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level860.597222222222222NOK
5% type I error level950.659722222222222NOK
10% type I error level990.6875NOK