Multiple Linear Regression - Estimated Regression Equation
Outcome[t] = -0.287405368731535 + 0.152860749153263Weeks[t] -0.0889992852558007UseLimit[t] + 0.0748166221064376T40enT20[t] + 0.104227139398114Used[t] -0.155823496430921CorrectAnalysis[t] + 0.153259553448608Useful[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.2874053687315350.601965-0.47740.6337540.316877
Weeks0.1528607491532630.1245751.22710.2217620.110881
UseLimit-0.08899928525580070.085057-1.04640.2971170.148558
T40enT200.07481662210643760.0940330.79560.4275240.213762
Used0.1042271393981140.1003241.03890.3005570.150278
CorrectAnalysis-0.1558234964309210.171848-0.90680.3660230.183011
Useful0.1532595534486080.0941851.62720.1058310.052915


Multiple Linear Regression - Regression Statistics
Multiple R0.247314645258534
R-squared0.0611645337593548
Adjusted R-squared0.0228447188107569
F-TEST (value)1.59615942408388
F-TEST (DF numerator)6
F-TEST (DF denominator)147
p-value0.152154215855867
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.485045084488399
Sum Squared Residuals34.5845038959947


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.3846715868385910.615328413161409
200.398854249987953-0.398854249987953
300.398854249987954-0.398854249987954
400.398854249987953-0.398854249987953
500.398854249987954-0.398854249987954
610.4631145181807610.536885481819239
700.398854249987954-0.398854249987954
800.473670872094391-0.473670872094391
910.3988542499879540.601145750012046
1000.309854964732153-0.309854964732153
1100.384671586838591-0.384671586838591
1200.398854249987954-0.398854249987954
1300.656340942834675-0.656340942834675
1400.384671586838591-0.384671586838591
1510.6563409428346750.343659057165325
1610.7311575649411130.268842435058887
1700.486334783254391-0.486334783254391
1800.384671586838591-0.384671586838591
1910.3988542499879540.601145750012046
2010.5753340685101920.424665931489808
2100.46311451818076-0.46311451818076
2210.5673416575788750.432658342421125
2310.5521138034365610.447886196563439
2410.4631145181807610.536885481819239
2510.5778980114925050.422101988507495
2600.656340942834675-0.656340942834675
2710.3098549647321530.690145035267847
2800.503081389386068-0.503081389386068
2910.3988542499879540.601145750012046
3000.552113803436561-0.552113803436561
3100.398854249987954-0.398854249987954
3200.309854964732153-0.309854964732153
3300.46311451818076-0.46311451818076
3410.4736708720943910.526329127905609
3500.398854249987954-0.398854249987954
3600.398854249987954-0.398854249987954
3700.642158279685312-0.642158279685312
3810.5030813893860680.496918610613932
3910.5521138034365610.447886196563439
4000.626930425542999-0.626930425542999
4110.5005174464037540.499482553596246
4210.5030813893860680.496918610613932
4310.4631145181807610.536885481819239
4400.384671586838591-0.384671586838591
4500.552113803436561-0.552113803436561
4610.5521138034365610.447886196563439
4700.398854249987954-0.398854249987954
4810.3988542499879540.601145750012046
4910.5521138034365610.447886196563439
5000.398854249987954-0.398854249987954
5100.577898011492506-0.577898011492506
5200.486334783254391-0.486334783254391
5310.3988542499879540.601145750012046
5400.347257892955147-0.347257892955147
5500.398854249987954-0.398854249987954
5610.5778980114925050.422101988507495
5710.6563409428346750.343659057165325
5810.3988542499879540.601145750012046
5910.3988542499879540.601145750012046
6010.4863347832543910.513665216745609
6110.3846715868385910.615328413161409
6200.656340942834675-0.656340942834675
6300.398854249987954-0.398854249987954
6410.3846715868385910.615328413161409
6500.398854249987954-0.398854249987954
6600.398854249987954-0.398854249987954
6700.575334068510192-0.575334068510192
6800.309854964732153-0.309854964732153
6910.3988542499879540.601145750012046
7000.503081389386068-0.503081389386068
7100.398854249987954-0.398854249987954
7210.3988542499879540.601145750012046
7310.5030813893860680.496918610613932
7400.414082104130267-0.414082104130267
7510.3988542499879540.601145750012046
7610.6269304255429990.373069574457001
7710.3988542499879540.601145750012046
7810.6563409428346750.343659057165325
7910.4220745150615850.577925484938415
8000.626930425542999-0.626930425542999
8100.398854249987954-0.398854249987954
8210.4140821041302670.585917895869733
8300.398854249987954-0.398854249987954
8400.347257892955147-0.347257892955147
8510.5521138034365610.447886196563439
8600.309854964732153-0.309854964732153
8710.228583332744940.77141666725506
8810.2579938500366170.742006149963383
8900.317582618000741-0.317582618000741
9010.3175826180007410.682417381999259
9100.470842171449349-0.470842171449349
9200.153766710638503-0.153766710638503
9300.381842886193548-0.381842886193548
9400.317582618000741-0.317582618000741
9500.242765995894304-0.242765995894304
9610.3175826180007410.682417381999259
9700.153766710638503-0.153766710638503
9800.317582618000741-0.317582618000741
9900.22858333274494-0.22858333274494
10010.3175826180007410.682417381999259
10110.228583332744940.77141666725506
10200.317582618000741-0.317582618000741
10300.317582618000741-0.317582618000741
10400.317582618000741-0.317582618000741
10500.346993135292418-0.346993135292418
10600.317582618000741-0.317582618000741
10700.317582618000741-0.317582618000741
10800.257993850036617-0.257993850036617
10900.317582618000741-0.317582618000741
11000.22858333274494-0.22858333274494
11100.411253403485224-0.411253403485224
11200.242765995894304-0.242765995894304
11300.421809757398855-0.421809757398855
11400.257993850036617-0.257993850036617
11500.22858333274494-0.22858333274494
11600.317582618000741-0.317582618000741
11710.228583332744940.77141666725506
11800.22858333274494-0.22858333274494
11900.317582618000741-0.317582618000741
12010.3175826180007410.682417381999259
12100.22858333274494-0.22858333274494
12200.317582618000741-0.317582618000741
12300.257993850036617-0.257993850036617
12410.5750693108474630.424930689152537
12510.3175826180007410.682417381999259
12600.242765995894304-0.242765995894304
12700.470842171449349-0.470842171449349
12810.3175826180007410.682417381999259
12900.317582618000741-0.317582618000741
13010.3175826180007410.682417381999259
13100.22858333274494-0.22858333274494
13210.228583332744940.77141666725506
13300.332810472143055-0.332810472143055
13400.317582618000741-0.317582618000741
13500.317582618000741-0.317582618000741
13600.317582618000741-0.317582618000741
13710.4860700255916620.513929974408338
13810.4112534034852240.588746596514776
13900.242765995894304-0.242765995894304
14000.317582618000741-0.317582618000741
14110.2659862609679340.734013739032066
14210.3469931352924180.653006864707582
14300.22858333274494-0.22858333274494
14410.4708421714493490.529157828550651
14500.470842171449349-0.470842171449349
14610.2427659958943040.757234004105696
14700.346993135292418-0.346993135292418
14800.242765995894304-0.242765995894304
14900.22858333274494-0.22858333274494
15010.4708421714493490.529157828550651
15110.3175826180007410.682417381999259
15200.176986975712134-0.176986975712134
15300.330246529160741-0.330246529160741
15400.332810472143055-0.332810472143055


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8466588404131770.3066823191736460.153341159586823
110.8178585744631940.3642828510736110.182141425536806
120.722493548466230.555012903067540.27750645153377
130.6171144832883280.7657710334233440.382885516711672
140.5500164678842880.8999670642314230.449983532115712
150.6434050559752810.7131898880494390.356594944024719
160.5773040923483620.8453918153032770.422695907651638
170.4862213059694610.9724426119389220.513778694030539
180.4245026154613570.8490052309227150.575497384538643
190.5868178850946640.8263642298106730.413182114905336
200.6022795709685030.7954408580629940.397720429031497
210.6667376472565640.6665247054868730.333262352743436
220.6633805541134190.6732388917731620.336619445886581
230.618733558528070.7625328829438610.38126644147193
240.5857528809160410.8284942381679180.414247119083959
250.6083164338861610.7833671322276780.391683566113839
260.6884371090638270.6231257818723460.311562890936173
270.7658555347618350.4682889304763310.234144465238165
280.7375468363830980.5249063272338030.262453163616902
290.7768262515657330.4463474968685340.223173748434267
300.7948180913897540.4103638172204920.205181908610246
310.7661625188239750.4676749623520510.233837481176025
320.7324916779059970.5350166441880050.267508322094003
330.7306101993718640.5387796012562720.269389800628136
340.7367665401728030.5264669196543940.263233459827197
350.7069018073303340.5861963853393310.293098192669666
360.6751925011227320.6496149977545360.324807498877268
370.7133293364495460.5733413271009080.286670663550454
380.7309014912298780.5381970175402440.269098508770122
390.7233423830907810.5533152338184370.276657616909219
400.7434078108277920.5131843783444160.256592189172208
410.7295552790794960.5408894418410080.270444720920504
420.7227658295350550.5544683409298910.277234170464945
430.7332208702987810.5335582594024390.266779129701219
440.7083121292332760.5833757415334470.291687870766724
450.7101182463180980.5797635073638040.289881753681902
460.7082338498655730.5835323002688540.291766150134427
470.6893669615265050.621266076946990.310633038473495
480.71236146994460.5752770601107990.2876385300554
490.705212862808540.589574274382920.29478713719146
500.6883102088295480.6233795823409050.311689791170452
510.6982856795797510.6034286408404980.301714320420249
520.7007083883291860.5985832233416280.299291611670814
530.7196151454360530.5607697091278930.280384854563947
540.7004267599408560.5991464801182880.299573240059144
550.6852939702455080.6294120595089850.314706029754492
560.680820133692380.638359732615240.31917986630762
570.650656403053260.698687193893480.34934359694674
580.6710255893906680.6579488212186630.328974410609332
590.6897457134724330.6205085730551350.310254286527567
600.6988270483925030.6023459032149940.301172951607497
610.7272256587564610.5455486824870770.272774341243539
620.7579914944292770.4840170111414450.242008505570723
630.7445196581165440.5109606837669120.255480341883456
640.7625663066030740.4748673867938530.237433693396926
650.7487694376921830.5024611246156340.251230562307817
660.7353520901540820.5292958196918350.264647909845918
670.7498321462947490.5003357074105020.250167853705251
680.7300931729597830.5398136540804330.269906827040216
690.7446768510274570.5106462979450860.255323148972543
700.7527895840239410.4944208319521180.247210415976059
710.7442666163976740.5114667672046520.255733383602326
720.7559157178014250.4881685643971510.244084282198575
730.7497305556678110.5005388886643770.250269444332189
740.7471942246802120.5056115506395760.252805775319788
750.7591623691029340.4816752617941320.240837630897066
760.7374840391457850.5250319217084290.262515960854215
770.7573782569907970.4852434860184060.242621743009203
780.7385523511188810.5228952977622390.261447648881119
790.7549721096845390.4900557806309230.245027890315461
800.7717196319817520.4565607360364960.228280368018248
810.7567426227951740.4865147544096530.243257377204826
820.773634719974990.4527305600500210.22636528002501
830.7542890883968520.4914218232062970.245710911603148
840.7366070143988140.5267859712023730.263392985601186
850.7361281625886250.527743674822750.263871837411375
860.7028354401923440.5943291196153130.297164559807656
870.725106459935390.5497870801292190.27489354006461
880.7542729417764950.4914541164470090.245727058223505
890.7681093970470990.4637812059058020.231890602952901
900.7813990172828060.4372019654343880.218600982717194
910.8050876037179290.3898247925641410.194912396282071
920.7815552737754030.4368894524491950.218444726224597
930.7783479806692730.4433040386614530.221652019330727
940.7592566058719330.4814867882561340.240743394128067
950.7288425618969910.5423148762060190.271157438103009
960.7635630486026850.472873902794630.236436951397315
970.7283169433326640.5433661133346720.271683056667336
980.7045962668167690.5908074663664630.295403733183231
990.6689515530543650.6620968938912690.331048446945635
1000.71031514264790.57936971470420.2896848573521
1010.7775300416281570.4449399167436860.222469958371843
1020.7557305669142590.4885388661714810.244269433085741
1030.7323117559901250.535376488019750.267688244009875
1040.7076909778941090.5846180442117820.292309022105891
1050.6840383920314960.6319232159370090.315961607968504
1060.6573912495282520.6852175009434950.342608750471748
1070.6307784671551230.7384430656897550.369221532844877
1080.587919874875680.8241602502486410.41208012512432
1090.5603851372503390.8792297254993220.439614862749661
1100.5131251107362320.9737497785275360.486874889263768
1110.4987233438695040.9974466877390090.501276656130496
1120.4596847381561210.9193694763122420.540315261843879
1130.4537800991754850.907560198350970.546219900824515
1140.4113272620691660.8226545241383330.588672737930834
1150.3631556350565430.7263112701130860.636844364943457
1160.3377698220786770.6755396441573540.662230177921323
1170.4464034735921560.8928069471843120.553596526407844
1180.3922648426107160.7845296852214310.607735157389284
1190.3679894139376970.7359788278753930.632010586062303
1200.4040131017136840.8080262034273670.595986898286316
1210.3495205753567240.6990411507134480.650479424643276
1220.3239852716160120.6479705432320240.676014728383988
1230.2833627806007780.5667255612015560.716637219399222
1240.2458833179338350.491766635867670.754116682066165
1250.2771481988202040.5542963976404090.722851801179796
1260.2467844145022220.4935688290044430.753215585497778
1270.2731674676202310.5463349352404620.726832532379769
1280.313082415994870.626164831989740.68691758400513
1290.2779483109399370.5558966218798750.722051689060063
1300.3281082810852230.6562165621704470.671891718914777
1310.2683829223786590.5367658447573180.731617077621341
1320.4613303511716530.9226607023433060.538669648828347
1330.3984103189686240.7968206379372490.601589681031376
1340.3432673110900810.6865346221801620.656732688909919
1350.2951976733213940.5903953466427890.704802326678606
1360.2576096152662680.5152192305325360.742390384733732
1370.2322166435298970.4644332870597950.767783356470103
1380.3342845034853810.6685690069707610.665715496514619
1390.2972308815407480.5944617630814950.702769118459252
1400.4069162887345830.8138325774691650.593083711265417
1410.3105482963318740.6210965926637470.689451703668126
1420.3745632461171950.7491264922343890.625436753882805
1430.2567329724647070.5134659449294140.743267027535293
1440.1906328295859510.3812656591719020.809367170414049


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