Multiple Linear Regression - Estimated Regression Equation
Useful[t] = + 0.183709865137359 + 0.0595520799693369Weeks[t] -0.0762411190828498UseLimit[t] -0.0392985464077028T40enT20[t] + 0.0980562791952251Used[t] + 0.157662701384507CorrectAnalysis[t] -0.11408526054452Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1837098651373590.1367561.34330.1812320.090616
Weeks0.05955207996933690.0407651.46090.1461870.073093
UseLimit-0.07624111908284980.086055-0.8860.3770890.188544
T40enT20-0.03929854640770280.094264-0.41690.6773590.33868
Used0.09805627919522510.1010190.97070.3333080.166654
CorrectAnalysis0.1576627013845070.0941071.67540.0959890.047995
Outcome-0.114085260544520.165223-0.69050.4909740.245487


Multiple Linear Regression - Regression Statistics
Multiple R0.241319333815921
R-squared0.05823502087336
Adjusted R-squared0.0197956339702318
F-TEST (value)1.51498308284987
F-TEST (DF numerator)6
F-TEST (DF denominator)147
p-value0.177049706162501
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.485801254836481
Sum Squared Residuals34.6924203025028


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.3063785195241540.693621480475846
200.421918185014706-0.421918185014706
300.421918185014706-0.421918185014706
400.421918185014706-0.421918185014706
500.421918185014706-0.421918185014706
610.5033397673163630.496660232683637
700.421918185014706-0.421918185014706
800.382619638607003-0.382619638607003
910.4219181850147060.578081814985294
1000.345677065931856-0.345677065931856
1100.306378519524153-0.306378519524153
1200.421918185014706-0.421918185014706
1300.677637165594438-0.677637165594438
1400.306378519524153-0.306378519524153
1510.6776371655944380.322362834405562
1610.6383386191867350.361661380813265
1700.448012239559366-0.448012239559366
1800.306378519524153-0.306378519524153
1910.4219181850147060.578081814985294
2010.5242533586422160.475746641357784
2100.503339767316363-0.503339767316363
2210.6013960465115880.398603953488412
2310.5795808863992130.420419113600787
2410.5033397673163630.496660232683637
2510.4806759178022290.519324082197771
2600.677637165594438-0.677637165594438
2710.3456770659318560.654322934068144
2800.519974464209931-0.519974464209931
2910.4219181850147060.578081814985294
3000.579580886399213-0.579580886399213
3100.421918185014706-0.421918185014706
3200.345677065931856-0.345677065931856
3300.503339767316363-0.503339767316363
3410.3826196386070040.617380361392996
3500.421918185014706-0.421918185014706
3600.421918185014706-0.421918185014706
3700.562097500103885-0.562097500103885
3810.5199744642099310.480025535790069
3910.5795808863992130.420419113600787
4000.54028233999151-0.54028233999151
4110.5635519050499180.436448094950082
4210.5199744642099310.480025535790069
4310.5033397673163630.496660232683637
4400.306378519524153-0.306378519524153
4500.579580886399213-0.579580886399213
4610.5795808863992130.420419113600787
4700.421918185014706-0.421918185014706
4810.4219181850147060.578081814985294
4910.5795808863992130.420419113600787
5000.421918185014706-0.421918185014706
5100.480675917802228-0.480675917802228
5200.448012239559366-0.448012239559366
5310.4219181850147060.578081814985294
5400.405889203665412-0.405889203665412
5500.421918185014706-0.421918185014706
5610.4806759178022290.519324082197771
5710.6776371655944380.322362834405562
5810.4219181850147060.578081814985294
5910.4219181850147060.578081814985294
6010.4480122395593660.551987760440634
6110.3063785195241540.693621480475846
6200.677637165594438-0.677637165594438
6300.421918185014706-0.421918185014706
6410.3063785195241540.693621480475846
6500.421918185014706-0.421918185014706
6600.421918185014706-0.421918185014706
6700.524253358642216-0.524253358642216
6800.345677065931856-0.345677065931856
6910.4219181850147060.578081814985294
7000.519974464209931-0.519974464209931
7100.421918185014706-0.421918185014706
7210.4219181850147060.578081814985294
7310.5199744642099310.480025535790069
7400.443733345127081-0.443733345127081
7510.4219181850147060.578081814985294
7610.540282339991510.45971766000849
7710.4219181850147060.578081814985294
7810.6776371655944380.322362834405562
7910.3665906572577090.633409342742291
8000.54028233999151-0.54028233999151
8100.421918185014706-0.421918185014706
8210.4437333451270820.556266654872918
8300.421918185014706-0.421918185014706
8400.405889203665412-0.405889203665412
8510.5795808863992130.420419113600787
8600.345677065931856-0.345677065931856
8710.2265729059931820.773427094006818
8810.2853306387807050.714669361219295
8900.302814025076032-0.302814025076032
9010.3028140250760320.697185974923968
9100.460476726460539-0.460476726460539
9200.18727435958548-0.18727435958548
9300.384235607377689-0.384235607377689
9400.302814025076032-0.302814025076032
9500.26351547866833-0.26351547866833
9610.3028140250760320.697185974923968
9700.18727435958548-0.18727435958548
9800.302814025076032-0.302814025076032
9900.226572905993183-0.226572905993183
10010.3028140250760320.697185974923968
10110.2265729059931820.773427094006818
10200.302814025076032-0.302814025076032
10300.302814025076032-0.302814025076032
10400.302814025076032-0.302814025076032
10500.361571757863555-0.361571757863555
10600.302814025076032-0.302814025076032
10700.302814025076032-0.302814025076032
10800.285330638780705-0.285330638780705
10900.302814025076032-0.302814025076032
11000.226572905993183-0.226572905993183
11100.442993340165212-0.442993340165212
11200.26351547866833-0.26351547866833
11300.400870304271258-0.400870304271258
11400.285330638780705-0.285330638780705
11500.226572905993183-0.226572905993183
11600.302814025076032-0.302814025076032
11710.2265729059931820.773427094006818
11800.226572905993183-0.226572905993183
11900.302814025076032-0.302814025076032
12010.3028140250760320.697185974923968
12100.226572905993183-0.226572905993183
12200.302814025076032-0.302814025076032
12300.285330638780705-0.285330638780705
12410.5585330056557640.441466994344236
12510.3028140250760320.697185974923968
12600.26351547866833-0.26351547866833
12700.460476726460539-0.460476726460539
12810.3028140250760320.697185974923968
12900.302814025076032-0.302814025076032
13010.3028140250760320.697185974923968
13100.226572905993183-0.226572905993183
13210.2265729059931820.773427094006818
13300.324629185188408-0.324629185188408
13400.302814025076032-0.302814025076032
13500.302814025076032-0.302814025076032
13600.302814025076032-0.302814025076032
13710.4822918865729140.517708113427086
13810.4429933401652120.557006659834788
13900.26351547866833-0.26351547866833
14000.302814025076032-0.302814025076032
14110.2867850437267380.713214956273262
14210.3615717578635550.638428242136445
14300.226572905993183-0.226572905993183
14410.4604767264605390.539523273539461
14500.460476726460539-0.460476726460539
14610.2635154786683290.736484521331671
14700.361571757863555-0.361571757863555
14800.26351547866833-0.26351547866833
14900.226572905993183-0.226572905993183
15010.4604767264605390.539523273539461
15110.3028140250760320.697185974923968
15200.210543924643888-0.210543924643888
15300.368206626028395-0.368206626028395
15400.324629185188408-0.324629185188408


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8463342428433430.3073315143133130.153665757156657
110.8166965029557340.3666069940885310.183303497044266
120.721320223931740.5573595521365210.27867977606826
130.6165084470830230.7669831058339550.383491552916977
140.5478264899584450.9043470200831110.452173510041555
150.6406809306653370.7186381386693250.359319069334663
160.5759022767078250.848195446584350.424097723292175
170.4835595251116830.9671190502233660.516440474888317
180.4197120972082180.8394241944164370.580287902791782
190.5807712538950450.838457492209910.419228746104955
200.5976415266848180.8047169466303640.402358473315182
210.6633100532921540.6733798934156920.336689946707846
220.6589660494819270.6820679010361450.341033950518073
230.6130290506421790.7739418987156420.386970949357821
240.5780586289996060.8438827420007880.421941371000394
250.6044527981442850.7910944037114290.395547201855715
260.6858721371773260.6282557256453470.314127862822674
270.7619782202852410.4760435594295190.238021779714759
280.7339594452149930.5320811095700140.266040554785007
290.7723618222929680.4552763554140640.227638177707032
300.7920176540565020.4159646918869960.207982345943498
310.76399164977210.4720167004557990.2360083502279
320.7312841691310330.5374316617379350.268715830868967
330.7316727964405990.5366544071188020.268327203559401
340.7434107091906050.5131785816187910.256589290809395
350.7149358048246080.5701283903507840.285064195175392
360.6847396920978120.6305206158043760.315260307902188
370.7173482552178730.5653034895642530.282651744782127
380.7337729905191840.5324540189616330.266227009480816
390.7249312708928660.5501374582142680.275068729107134
400.7380471062062790.5239057875874430.261952893793721
410.7199657578167350.560068484366530.280034242183265
420.7125591483807050.574881703238590.287440851619295
430.7202193874518810.5595612250962390.279780612548119
440.6888549690915940.6222900618168130.311145030908406
450.6941582926221820.6116834147556360.305841707377818
460.6895481332377550.620903733524490.310451866762245
470.671777591761570.6564448164768610.32822240823843
480.6928170071941740.6143659856116520.307182992805826
490.6817785670078670.6364428659842670.318221432992133
500.6663348423495440.6673303153009120.333665157650456
510.6593521171029810.6812957657940390.340647882897019
520.6581883376883180.6836233246233640.341811662311682
530.6740089526024260.6519820947951480.325991047397574
540.6581063079515050.6837873840969910.341893692048495
550.6449067669708510.7101864660582970.355093233029149
560.6505071594440390.6989856811119220.349492840555961
570.6188980659576550.762203868084690.381101934042345
580.6359285411022610.7281429177954770.364071458897738
590.6508024697397560.6983950605204870.349197530260244
600.6627191048642420.6745617902715170.337280895135758
610.7048070880522630.5903858238954740.295192911947737
620.7386641212581550.5226717574836910.261335878741845
630.7270808295790740.5458383408418520.272919170420926
640.7630946775915950.473810644816810.236905322408405
650.7512642947463330.4974714105073340.248735705253667
660.7401402017916890.5197195964166220.259859798208311
670.7439891747531110.5120216504937780.256010825246889
680.7255846797651820.5488306404696350.274415320234818
690.7374056373383550.5251887253232890.262594362661645
700.746671529994320.506656940011360.25332847000568
710.7415386784054430.5169226431891140.258461321594557
720.749595736677320.5008085266453610.25040426332268
730.7420669890504420.5158660218991150.257933010949558
740.7412580209304230.5174839581391530.258741979069577
750.7481216129017430.5037567741965140.251878387098257
760.7395958001689160.5208083996621690.260404199831084
770.7539038343477320.4921923313045360.246096165652268
780.7315703833743110.5368592332513780.268429616625689
790.7758365744430090.4483268511139820.224163425556991
800.7717196319817540.4565607360364910.228280368018246
810.7567426227951750.486514754409650.243257377204825
820.773634719974990.4527305600500190.22636528002501
830.7542890883968520.4914218232062970.245710911603148
840.7366070143988140.5267859712023720.263392985601186
850.7361281625886260.5277436748227490.263871837411374
860.7028354401923440.5943291196153130.297164559807656
870.725106459935390.5497870801292190.27489354006461
880.7547172232641440.4905655534717110.245282776735856
890.7667902367386780.4664195265226430.233209763261322
900.7803841804546540.4392316390906920.219615819545346
910.8038346292607740.3923307414784520.196165370739226
920.7816506507464350.436698698507130.218349349253565
930.7776508132611590.4446983734776810.222349186738841
940.7581824672931450.483635065413710.241817532706855
950.7289279993339310.5421440013321390.271072000666069
960.7645929180620390.4708141638759220.235407081937961
970.7305787816652530.5388424366694950.269421218334747
980.7061705379533880.5876589240932240.293829462046612
990.6701804529203690.6596390941592630.329819547079631
1000.7127006004113030.5745987991773940.287299399588697
1010.780100962066110.4397980758677810.21989903793389
1020.7577913268411750.4844173463176510.242208673158825
1030.7339631650775530.5320736698448950.266036834922447
1040.7090083835601680.5819832328796650.290991616439832
1050.6863455592999450.627308881400110.313654440700055
1060.6593510945325630.6812978109348740.340648905467437
1070.6324409850203670.7351180299592660.367559014979633
1080.5907660208985190.8184679582029620.409233979101481
1090.5628714306138560.8742571387722880.437128569386144
1100.5156255887367830.9687488225264340.484374411263217
1110.5026594007319970.9946811985360050.497340599268003
1120.4639398743275190.9278797486550370.536060125672481
1130.457375268898630.914750537797260.54262473110137
1140.4156021542925250.8312043085850510.584397845707475
1150.3672311755435970.7344623510871940.632768824456403
1160.3413733097087570.6827466194175140.658626690291243
1170.4500025222907170.9000050445814340.549997477709283
1180.3958067880660450.791613576132090.604193211933955
1190.3711201599426710.7422403198853410.628879840057329
1200.4082201902121130.8164403804242250.591779809787887
1210.3535625031289360.7071250062578720.646437496871064
1220.327556739294990.655113478589980.67244326070501
1230.2872473397242330.5744946794484660.712752660275767
1240.2500931877136310.5001863754272630.749906812286369
1250.2824432274783610.5648864549567230.717556772521639
1260.2519317639173390.5038635278346780.748068236082661
1270.2780279443512070.5560558887024140.721972055648793
1280.3190290239141450.638058047828290.680970976085855
1290.2831459673415440.5662919346830880.716854032658456
1300.3343460463040670.6686920926081350.665653953695933
1310.2741008478866850.5482016957733710.725899152113315
1320.4671962110144090.9343924220288170.532803788985591
1330.4041402934969310.8082805869938630.595859706503069
1340.3482949003647490.6965898007294970.651705099635251
1350.2995365850718740.5990731701437480.700463414928126
1360.2613292179520280.5226584359040550.738670782047972
1370.235298979081370.4705979581627410.76470102091863
1380.33657063162990.67314126325980.6634293683701
1390.2993721200510950.5987442401021890.700627879948905
1400.4088931926810080.8177863853620160.591106807318992
1410.3104978337697460.6209956675394920.689502166230254
1420.3747590505118510.7495181010237010.625240949488149
1430.2569762106913980.5139524213827970.743023789308602
1440.1909270425981090.3818540851962180.809072957401891


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 level00OK