Multiple Linear Regression - Estimated Regression Equation
Outcome[t] = + 0.365278221640243 -0.0925378036803473UseLimit[t] -0.036291570032069T20[t] + 0.0987913995993308Used[t] -0.098247389124118CorrectAnalysis[t] + 0.184367379029812Useful[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.3652782216402430.0572686.378400
UseLimit-0.09253780368034730.085655-1.08030.2817440.140872
T20-0.0362915700320690.094602-0.38360.7018070.350903
Used0.09879139959933080.1014040.97420.3315310.165765
CorrectAnalysis-0.0982473891241180.165498-0.59360.5536530.276827
Useful0.1843673790298120.0926671.98960.0484810.024241


Multiple Linear Regression - Regression Statistics
Multiple R0.211098582032918
R-squared0.0445626113363086
Adjusted R-squared0.0122843211787516
F-TEST (value)1.38057533775145
F-TEST (DF numerator)5
F-TEST (DF denominator)148
p-value0.234798931324086
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.487659051727983
Sum Squared Residuals35.1960799083709


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.2364488479278260.763551152072174
200.365278221640243-0.365278221640243
300.365278221640243-0.365278221640243
400.365278221640243-0.365278221640243
500.365278221640242-0.365278221640242
610.4571077969897080.542892203010292
700.365278221640243-0.365278221640243
800.328986651608174-0.328986651608174
910.3652782216402420.634721778359758
1000.272740417959895-0.272740417959895
1100.236448847927826-0.236448847927826
1200.365278221640243-0.365278221640243
1300.648437000269386-0.648437000269386
1400.236448847927826-0.236448847927826
1510.6484370002693860.351562999730614
1610.6121454302373170.387854569762683
1700.421360237432851-0.421360237432851
1800.236448847927826-0.236448847927826
1910.3652782216402420.634721778359758
2010.5138980411131990.486101958886801
2100.457107796989707-0.457107796989707
2210.5558991965890380.444100803410962
2310.5496456006700550.450354399329945
2410.4571077969897070.542892203010293
2510.4277780512075040.572221948792496
2600.648437000269386-0.648437000269386
2710.2727404179598950.727259582040105
2800.464069621239573-0.464069621239573
2910.3652782216402420.634721778359758
3000.549645600670055-0.549645600670055
3100.365278221640243-0.365278221640243
3200.272740417959895-0.272740417959895
3300.457107796989707-0.457107796989707
3410.3289866516081740.671013348391826
3500.365278221640243-0.365278221640243
3600.365278221640243-0.365278221640243
3700.519607626556969-0.519607626556969
3810.4640696212395730.535930378760427
3910.5496456006700550.450354399329945
4000.513354030637986-0.513354030637986
4110.5501896111452680.449810388854732
4210.4640696212395730.535930378760427
4310.4571077969897070.542892203010293
4400.236448847927826-0.236448847927826
4500.549645600670055-0.549645600670055
4610.5496456006700550.450354399329945
4700.365278221640243-0.365278221640243
4810.3652782216402420.634721778359758
4910.5496456006700550.450354399329945
5000.365278221640243-0.365278221640243
5100.427778051207504-0.427778051207504
5200.421360237432851-0.421360237432851
5310.3652782216402420.634721778359758
5400.365822232115455-0.365822232115455
5500.365278221640243-0.365278221640243
5610.4277780512075040.572221948792496
5710.6484370002693860.351562999730614
5810.3652782216402420.634721778359758
5910.3652782216402420.634721778359758
6010.4213602374328510.578639762567149
6110.2364488479278260.763551152072174
6200.648437000269386-0.648437000269386
6300.365278221640243-0.365278221640243
6410.2364488479278260.763551152072174
6500.365278221640243-0.365278221640243
6600.365278221640243-0.365278221640243
6700.513898041113199-0.513898041113199
6800.272740417959895-0.272740417959895
6910.3652782216402420.634721778359758
7000.464069621239573-0.464069621239573
7100.365278221640243-0.365278221640243
7210.3652782216402420.634721778359758
7310.4640696212395730.535930378760427
7400.371531817559226-0.371531817559226
7510.3652782216402420.634721778359758
7610.5133540306379860.486645969362014
7710.3652782216402420.634721778359758
7810.6484370002693860.351562999730614
7910.3295306620833860.670469337916614
8000.513354030637986-0.513354030637986
8100.365278221640243-0.365278221640243
8210.3715318175592260.628468182440774
8300.365278221640243-0.365278221640243
8400.365822232115455-0.365822232115455
8510.5496456006700550.450354399329945
8600.272740417959895-0.272740417959895
8710.2727404179598950.727259582040105
8810.3352402475271570.664759752472843
8900.365278221640243-0.365278221640243
9010.3652782216402420.634721778359758
9100.549645600670055-0.549645600670055
9200.236448847927826-0.236448847927826
9300.457107796989707-0.457107796989707
9400.365278221640243-0.365278221640243
9500.328986651608174-0.328986651608174
9610.3652782216402420.634721778359758
9700.236448847927826-0.236448847927826
9800.365278221640243-0.365278221640243
9900.272740417959895-0.272740417959895
10010.3652782216402420.634721778359758
10110.2727404179598950.727259582040105
10200.365278221640243-0.365278221640243
10300.365278221640243-0.365278221640243
10400.365278221640243-0.365278221640243
10500.427778051207504-0.427778051207504
10600.365278221640243-0.365278221640243
10700.365278221640243-0.365278221640243
10800.335240247527157-0.335240247527157
10900.365278221640243-0.365278221640243
11000.272740417959895-0.272740417959895
11100.519607626556969-0.519607626556969
11200.328986651608174-0.328986651608174
11300.464069621239573-0.464069621239573
11400.335240247527157-0.335240247527157
11500.272740417959895-0.272740417959895
11600.365278221640243-0.365278221640243
11710.2727404179598950.727259582040105
11800.272740417959895-0.272740417959895
11900.365278221640243-0.365278221640243
12010.3652782216402420.634721778359758
12100.272740417959895-0.272740417959895
12200.365278221640243-0.365278221640243
12300.335240247527157-0.335240247527157
12410.6484370002693860.351562999730614
12510.3652782216402420.634721778359758
12600.328986651608174-0.328986651608174
12700.549645600670055-0.549645600670055
12810.3652782216402420.634721778359758
12900.365278221640243-0.365278221640243
13010.3652782216402420.634721778359758
13100.272740417959895-0.272740417959895
13210.2727404179598950.727259582040105
13300.371531817559226-0.371531817559226
13400.365278221640243-0.365278221640243
13500.365278221640243-0.365278221640243
13600.365278221640243-0.365278221640243
13710.5558991965890380.444100803410962
13810.5196076265569690.480392373443031
13900.328986651608174-0.328986651608174
14000.365278221640243-0.365278221640243
14110.3658222321154550.634177767884545
14210.4277780512075040.572221948792496
14300.272740417959895-0.272740417959895
14410.5496456006700550.450354399329945
14500.549645600670055-0.549645600670055
14610.3289866516081740.671013348391826
14700.427778051207504-0.427778051207504
14800.328986651608174-0.328986651608174
14900.272740417959895-0.272740417959895
15010.5496456006700550.450354399329945
15110.3652782216402420.634721778359758
15200.273284428435108-0.273284428435108
15300.45765180746492-0.45765180746492
15400.371531817559226-0.371531817559226


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.6756187118720620.6487625762558760.324381288127938
100.7346575211893810.5306849576212380.265342478810619
110.7094784765048390.5810430469903220.290521523495161
120.6014925738356280.7970148523287440.398507426164372
130.4931365959108510.9862731918217030.506863404089149
140.4287277872089190.8574555744178390.571272212791081
150.5328571522930360.9342856954139280.467142847706964
160.4704727915589790.9409455831179590.529527208441021
170.3816273671210190.7632547342420380.618372632878981
180.3227887995594460.6455775991188920.677211200440554
190.4865120876897410.9730241753794820.513487912310259
200.5073031791980980.9853936416038050.492696820801902
210.5767240048131910.8465519903736190.423275995186809
220.5759741822369770.8480516355260470.424025817763023
230.530655523713770.938688952572460.46934447628623
240.4992590036483910.9985180072967820.500740996351609
250.5310390785478020.9379218429043970.468960921452198
260.6169504216659080.7660991566681840.383049578334092
270.7071786632949960.5856426734100080.292821336705004
280.6744884380569260.6510231238861480.325511561943074
290.7215655094930920.5568689810138160.278434490506908
300.7425623289610780.5148753420778450.257437671038922
310.7091950088201720.5816099823596550.290804991179828
320.670612129890580.6587757402188390.32938787010942
330.667443007254390.665113985491220.33255699274561
340.6863064577552540.6273870844894930.313693542244746
350.6518455287354680.6963089425290630.348154471264532
360.6151411394549930.7697177210900140.384858860545007
370.6455893720330060.7088212559339880.354410627966994
380.6684344508872220.6631310982255550.331565549112778
390.662027834983720.675944330032560.33797216501628
400.6721030670639380.6557938658721250.327896932936062
410.6535777260819310.6928445478361380.346422273918069
420.6508931163590780.6982137672818450.349106883640922
430.6652870011528150.6694259976943690.334712998847185
440.6266144652982340.7467710694035320.373385534701766
450.6258236862085030.7483526275829940.374176313791497
460.6255593585795790.7488812828408420.374440641420421
470.6004521438999010.7990957122001970.399547856100099
480.6313302467430250.737339506513950.368669753256975
490.6249577385372290.7500845229255410.375042261462771
500.6024610843954670.7950778312090660.397538915604533
510.588204526391740.823590947216520.41179547360826
520.5815797060990260.8368405878019480.418420293900974
530.6085622416424240.7828755167151520.391437758357576
540.5880880738579950.8238238522840090.411911926142005
550.5654909233722670.8690181532554660.434509076627733
560.5805214644461440.8389570711077120.419478535553856
570.5533043107920030.8933913784159930.446695689207997
580.5820263109524860.8359473780950290.417973689047514
590.6080832758708230.7838334482583530.391916724129177
600.6267678777593450.7464642444813110.373232122240655
610.6827570416676880.6344859166646240.317242958332312
620.7125491182477610.5749017635044790.287450881752239
630.695004825280260.6099903494394810.30499517471974
640.7471064091131550.505787181773690.252893590886845
650.7305438404273370.5389123191453260.269456159572663
660.7129768487006750.574046302598650.287023151299325
670.7108600021277250.578279995744550.289139997872275
680.683747915683450.6325041686331010.31625208431655
690.7088533819416170.5822932361167660.291146618058383
700.7082367437474350.583526512505130.291763256252565
710.6898330643498050.620333871300390.310166935650195
720.7145845987960220.5708308024079560.285415401203978
730.7160474113094140.5679051773811720.283952588690586
740.7006197819855050.5987604360289890.299380218014495
750.7252511174935230.5494977650129530.274748882506476
760.7280369239843580.5439261520312830.271963076015642
770.7527224755775620.4945550488448760.247277524422438
780.7329259298452590.5341481403094830.267074070154741
790.7770974565581870.4458050868836260.222902543441813
800.774878117036880.4502437659262390.225121882963119
810.7590544936512190.4818910126975620.240945506348781
820.7755468224311810.4489063551376370.224453177568819
830.7590902754882470.4818194490235060.240909724511753
840.7386623233990580.5226753532018840.261337676600942
850.7371054835624590.5257890328750820.262894516437541
860.7095482441870680.5809035116258650.290451755812932
870.7594560993588090.4810878012823810.240543900641191
880.8000378581512010.3999242836975980.199962141848799
890.7843247101903350.431350579619330.215675289809665
900.8111580524332330.3776838951335340.188841947566767
910.817859213960670.364281572078660.18214078603933
920.7923355330108790.4153289339782420.207664466989121
930.7876616437940680.4246767124118650.212338356205932
940.7703871234065650.459225753186870.229612876593435
950.7453681897871210.5092636204257570.254631810212879
960.7769274247356330.4461451505287330.223072575264367
970.7454561720787860.5090876558424280.254543827921214
980.7247743920154660.5504512159690680.275225607984534
990.6928508519376390.6142982961247230.307149148062361
1000.7301546114290530.5396907771418940.269845388570947
1010.7947283425988880.4105433148022240.205271657401112
1020.7745139434036320.4509721131927370.225486056596368
1030.7535276183153550.4929447633692890.246472381684645
1040.7320233079599280.5359533840801440.267976692040072
1050.7149329606714820.5701340786570350.285067039328518
1060.6926431237065930.6147137525868140.307356876293407
1070.6706631906058220.6586736187883560.329336809394178
1080.6358585948003060.7282828103993870.364141405199694
1090.6133551574974850.773289685005030.386644842502515
1100.5710436308340060.8579127383319880.428956369165994
1110.5672643990520610.8654712018958790.432735600947939
1120.5330802814148790.9338394371702410.466919718585121
1130.5340469559094370.9319060881811260.465953044090563
1140.49644781351360.9928956270271990.5035521864864
1150.4503330942427560.9006661884855110.549666905757244
1160.4281213509360780.8562427018721560.571878649063922
1170.5301848198534790.9396303602930420.469815180146521
1180.4786108056609890.9572216113219780.521389194339011
1190.4576321407779990.9152642815559990.542367859222001
1200.4860079828816130.9720159657632260.513992017118387
1210.4322625590550810.8645251181101630.567737440944919
1220.4088284444949420.8176568889898830.591171555505058
1230.3683499856076350.7366999712152710.631650014392365
1240.3194982410831320.6389964821662640.680501758916868
1250.3490793522100880.6981587044201760.650920647789912
1260.3183459626581160.6366919253162310.681654037341884
1270.3540093341936510.7080186683873010.645990665806349
1280.3935575182576230.7871150365152470.606442481742377
1290.3581274608339120.7162549216678230.641872539166088
1300.4099634707333750.8199269414667490.590036529266625
1310.3472165172007490.6944330344014980.652783482799251
1320.5493919210059420.9012161579881170.450608078994058
1330.4892082088111250.9784164176222510.510791791188875
1340.4347590542224410.8695181084448830.565240945777559
1350.3860990899023760.7721981798047530.613900910097624
1360.347635181785140.695270363570280.65236481821486
1370.3171841267334250.6343682534668510.682815873266575
1380.4327079480351450.8654158960702910.567292051964855
1390.3976553213882650.795310642776530.602344678611735
1400.5245788164221990.9508423671556030.475421183577801
1410.4219687920725120.8439375841450230.578031207927488
1420.5022388238081380.9955223523837240.497761176191862
1430.3820297649669410.7640595299338820.617970235033059
1440.3144847193578180.6289694387156360.685515280642182
1450.4970175267775830.9940350535551670.502982473222417


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