Multiple Linear Regression - Estimated Regression Equation
ca[t] = + 0.0129459729750044 + 0.0115146695582435UseLim[t] -0.162614333886684T20[t] + 0.278287880707321used[t] + 0.0447956642870392Useful[t] -0.0354843689768406Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.01294597297500440.031290.41370.6796590.339829
UseLim0.01151466955824350.0413710.27830.7811480.390574
T20-0.1626143338866840.063615-2.55620.0115890.005794
used0.2782878807073210.0448556.204200
Useful0.04479566428703920.045920.97550.3308990.165449
Outcome-0.03548436897684060.040089-0.88510.3775150.188757


Multiple Linear Regression - Regression Statistics
Multiple R0.498844450594095
R-squared0.248845785888525
Adjusted R-squared0.223468954330704
F-TEST (value)9.80602268338895
F-TEST (DF numerator)5
F-TEST (DF denominator)148
p-value4.12008822614496e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.236978055246082
Sum Squared Residuals8.31147260289581


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10-0.01102372644359260.0110237264435926
200.0129459729750045-0.0129459729750045
300.0129459729750043-0.0129459729750043
400.0129459729750042-0.0129459729750042
500.0129459729750044-0.0129459729750044
600.0337719378434466-0.0337719378434466
700.0129459729750044-0.0129459729750044
800.0129459729750044-0.0129459729750044
90-0.02253839600183620.0225383960018362
1000.0244606425332479-0.0244606425332479
1100.0244606425332479-0.0244606425332479
1200.0129459729750044-0.0129459729750044
1300.336029517969365-0.336029517969365
1400.0244606425332479-0.0244606425332479
1500.300545148992524-0.300545148992524
1600.300545148992524-0.300545148992524
1710.3475441875276080.652455812472392
1800.0244606425332479-0.0244606425332479
190-0.02253839600183620.0225383960018362
2010.3005451489925240.699454851007476
2100.0692563068202871-0.0692563068202871
2200.312059818550767-0.312059818550767
2300.0222572682852031-0.0222572682852031
2400.0337719378434466-0.0337719378434466
2500.255749484705485-0.255749484705485
2600.336029517969365-0.336029517969365
270-0.01102372644359270.0110237264435927
2800.291233853682325-0.291233853682325
290-0.02253839600183620.0225383960018362
3000.0577416372620436-0.0577416372620436
3100.0129459729750044-0.0129459729750044
3200.0244606425332479-0.0244606425332479
3300.0692563068202871-0.0692563068202871
340-0.02253839600183620.0225383960018362
3500.0129459729750044-0.0129459729750044
3600.0129459729750044-0.0129459729750044
3700.347544187527608-0.347544187527608
3800.255749484705485-0.255749484705485
3900.0222572682852031-0.0222572682852031
4000.0577416372620436-0.0577416372620436
4110.3005451489925240.699454851007476
4200.255749484705485-0.255749484705485
4300.0337719378434466-0.0337719378434466
4400.0244606425332479-0.0244606425332479
4500.0577416372620436-0.0577416372620436
4600.0222572682852031-0.0222572682852031
4700.0129459729750044-0.0129459729750044
480-0.02253839600183620.0225383960018362
4900.0222572682852031-0.0222572682852031
5000.0129459729750044-0.0129459729750044
5100.291233853682325-0.291233853682325
5210.3475441875276080.652455812472392
530-0.02253839600183620.0225383960018362
5410.2912338536823250.708766146317675
5500.0129459729750044-0.0129459729750044
5600.255749484705485-0.255749484705485
5700.300545148992524-0.300545148992524
580-0.02253839600183620.0225383960018362
590-0.02253839600183620.0225383960018362
6010.3120598185507680.687940181449232
610-0.01102372644359270.0110237264435927
6200.336029517969365-0.336029517969365
6300.0129459729750044-0.0129459729750044
640-0.01102372644359270.0110237264435927
6500.0129459729750044-0.0129459729750044
6600.0129459729750044-0.0129459729750044
6710.3360295179693650.663970482030635
6800.0244606425332479-0.0244606425332479
690-0.02253839600183620.0225383960018362
7000.291233853682325-0.291233853682325
7100.0129459729750044-0.0129459729750044
720-0.02253839600183620.0225383960018362
7300.255749484705485-0.255749484705485
7400.302748523240569-0.302748523240569
750-0.02253839600183620.0225383960018362
7600.0222572682852031-0.0222572682852031
770-0.02253839600183620.0225383960018362
7800.300545148992524-0.300545148992524
7910.2557494847054850.744250515294515
8000.0577416372620436-0.0577416372620436
8100.0129459729750044-0.0129459729750044
8200.267264154263728-0.267264154263728
8300.0129459729750044-0.0129459729750044
8410.2912338536823250.708766146317675
8500.0222572682852031-0.0222572682852031
8600.0244606425332479-0.0244606425332479
870-0.01102372644359270.0110237264435927
8800.104649820377044-0.104649820377044
8900.0129459729750044-0.0129459729750044
900-0.02253839600183620.0225383960018362
9100.0577416372620436-0.0577416372620436
920-0.1381536913534360.138153691353436
9300.0692563068202871-0.0692563068202871
9400.0129459729750044-0.0129459729750044
950-0.149668360911680.14966836091168
960-0.02253839600183620.0225383960018362
970-0.1381536913534360.138153691353436
9800.0129459729750044-0.0129459729750044
9900.0244606425332479-0.0244606425332479
1000-0.02253839600183620.0225383960018362
1010-0.01102372644359270.0110237264435927
10200.0129459729750044-0.0129459729750044
10300.0129459729750044-0.0129459729750044
10400.0129459729750044-0.0129459729750044
10500.128619519795641-0.128619519795641
10600.0129459729750044-0.0129459729750044
10700.0129459729750044-0.0129459729750044
10800.140134189353885-0.140134189353885
10900.0129459729750044-0.0129459729750044
11000.0244606425332479-0.0244606425332479
11100.184929853640924-0.184929853640924
1120-0.149668360911680.14966836091168
11300.291233853682325-0.291233853682325
11400.140134189353885-0.140134189353885
11500.0244606425332479-0.0244606425332479
11600.0129459729750044-0.0129459729750044
1170-0.01102372644359270.0110237264435927
11800.0244606425332479-0.0244606425332479
11900.0129459729750044-0.0129459729750044
1200-0.02253839600183620.0225383960018362
12100.0244606425332479-0.0244606425332479
12200.0129459729750044-0.0129459729750044
12300.140134189353885-0.140134189353885
12400.300545148992524-0.300545148992524
1250-0.02253839600183620.0225383960018362
1260-0.149668360911680.14966836091168
12700.0577416372620436-0.0577416372620436
1280-0.02253839600183620.0225383960018362
12900.0129459729750044-0.0129459729750044
1300-0.02253839600183620.0225383960018362
13100.0244606425332479-0.0244606425332479
1320-0.01102372644359270.0110237264435927
13300.302748523240569-0.302748523240569
13400.0129459729750044-0.0129459729750044
13500.0129459729750044-0.0129459729750044
13600.0129459729750044-0.0129459729750044
13700.312059818550767-0.312059818550767
13800.149445484664084-0.149445484664084
1390-0.149668360911680.14966836091168
14000.0129459729750044-0.0129459729750044
14110.2557494847054850.744250515294515
14200.0931351508188008-0.0931351508188008
14300.0244606425332479-0.0244606425332479
14400.0222572682852031-0.0222572682852031
14500.0577416372620436-0.0577416372620436
1460-0.185152729888520.18515272988852
14700.128619519795641-0.128619519795641
1480-0.149668360911680.14966836091168
14900.0244606425332479-0.0244606425332479
15000.0222572682852031-0.0222572682852031
1510-0.02253839600183620.0225383960018362
15210.3027485232405690.697251476759431
15310.3475441875276080.652455812472392
15400.302748523240569-0.302748523240569


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
9001
10001
11001
12001
13001
14001
15001
16001
170.3547882474310710.7095764948621420.645211752568929
180.3063625176416210.6127250352832430.693637482358379
190.2754327721545530.5508655443091060.724567227845447
200.8513403997558570.2973192004882860.148659600244143
210.8030963954864230.3938072090271540.196903604513577
220.8703109921830570.2593780156338870.129689007816944
230.8318652288735070.3362695422529860.168134771126493
240.7837360554760720.4325278890478570.216263944523928
250.7723041359775160.4553917280449690.227695864022484
260.8009507032872490.3980985934255010.199049296712751
270.7513008261236520.4973983477526960.248699173876348
280.7385122510113330.5229754979773340.261487748988667
290.6875164285639080.6249671428721840.312483571436092
300.6314015830363570.7371968339272860.368598416963643
310.5716019660972520.8567960678054950.428398033902747
320.5107608074153560.9784783851692880.489239192584644
330.4581372495142650.916274499028530.541862750485735
340.4009182807103990.8018365614207980.599081719289601
350.3445798389709030.6891596779418060.655420161029097
360.2918728453844660.5837456907689310.708127154615535
370.3183949483755560.6367898967511120.681605051624444
380.2952030443996160.5904060887992330.704796955600384
390.2480063484834870.4960126969669730.751993651516513
400.2067952221703440.4135904443406870.793204777829656
410.6621131777601280.6757736444797450.337886822239872
420.6485192258945240.7029615482109510.351480774105476
430.6014156348889290.7971687302221420.398584365111071
440.5491371507758650.9017256984482690.450862849224135
450.4992190794346880.9984381588693770.500780920565312
460.4484048696630320.8968097393260640.551595130336968
470.3974910260851880.7949820521703760.602508973914812
480.3481439021177560.6962878042355110.651856097882244
490.3026282639170580.6052565278341170.697371736082942
500.2593616349917370.5187232699834750.740638365008263
510.2570682084424960.5141364168849920.742931791557504
520.5981663395477890.8036673209044210.401833660452211
530.5511228124682410.8977543750635180.448877187531759
540.8717047497423890.2565905005152220.128295250257611
550.8440446478858080.3119107042283850.155955352114192
560.8445695829502130.3108608340995740.155430417049787
570.8579760450124930.2840479099750140.142023954987507
580.8303844680403190.3392310639193630.169615531959681
590.7994128220136520.4011743559726950.200587177986348
600.9523157698397040.09536846032059170.0476842301602959
610.9391628323439280.1216743353121450.0608371676560723
620.9505932405606610.09881351887867710.0494067594393385
630.9374918672427170.1250162655145650.0625081327572827
640.9217805269084890.1564389461830230.0782194730915113
650.9033598083769940.1932803832460130.0966401916230064
660.881971422752610.236057154494780.11802857724739
670.9776818351251650.044636329749670.022318164874835
680.9706646306770920.05867073864581690.0293353693229084
690.9622105133418960.07557897331620720.0377894866581036
700.9674331906656560.06513361866868830.0325668093343442
710.9580975509210070.08380489815798670.0419024490789933
720.9468151373401440.1063697253197110.0531848626598557
730.9513014463254560.09739710734908860.0486985536745443
740.9593741220316930.08125175593661390.0406258779683069
750.9483613154369990.1032773691260010.0516386845630005
760.9349323119089480.1301353761821040.0650676880910522
770.919098224966250.16180355006750.0809017750337502
780.9301178974024590.1397642051950830.0698821025975413
790.993369828920190.01326034215961960.00663017107980978
800.990842170233170.01831565953365920.00915782976682961
810.9875565106313620.02488697873727680.0124434893686384
820.9890104126018670.02197917479626540.0109895873981327
830.9851457914748010.02970841705039750.0148542085251988
840.9992785798023560.001442840395288580.000721420197644289
850.9989043777264760.002191244547048840.00109562227352442
860.9983677140278240.003264571944352450.00163228597217622
870.9975881571868660.004823685626268530.00241184281313427
880.9966808810215590.006638237956880950.00331911897844047
890.9952235279046840.009552944190632810.0047764720953164
900.9932311038185920.01353779236281620.00676889618140809
910.9905363104923320.01892737901533620.00946368950766808
920.9883731995485870.0232536009028250.0116268004514125
930.9842019817915560.03159603641688770.0157980182084438
940.978571053022050.04285789395589910.0214289469779495
950.973779480838740.05244103832251990.02622051916126
960.9652172620802250.06956547583954960.0347827379197748
970.9582669703833770.08346605923324640.0417330296166232
980.9457198294007740.1085603411984520.0542801705992259
990.9302188166507860.1395623666984280.069781183349214
1000.9116444904105820.1767110191788360.0883555095894178
1010.8891984147307820.2216031705384370.110801585269218
1020.8630789173017450.2738421653965090.136921082698255
1030.8329431884325960.3341136231348080.167056811567404
1040.7987297424268110.4025405151463790.201270257573189
1050.7742423139890040.4515153720219920.225757686010996
1060.733492538081760.533014923836480.26650746191824
1070.6892070827865780.6215858344268440.310792917213422
1080.6560562384629940.6878875230740130.343943761537006
1090.6066308674616060.7867382650767870.393369132538394
1100.5543640228606170.8912719542787660.445635977139383
1110.518384616014140.9632307679717210.48161538398586
1120.4828851855809650.9657703711619310.517114814419035
1130.5374229769590640.9251540460818730.462577023040936
1140.5016638530731370.9966722938537270.498336146926863
1150.4459407030326320.8918814060652650.554059296967368
1160.3933515163724730.7867030327449470.606648483627527
1170.3401697435233840.6803394870467680.659830256476616
1180.2893389527075880.5786779054151750.710661047292412
1190.2445105231709380.4890210463418760.755489476829062
1200.2011930471505480.4023860943010960.798806952849452
1210.1625379388292420.3250758776584850.837462061170758
1220.1308073135864780.2616146271729560.869192686413522
1230.1137861069602150.227572213920430.886213893039785
1240.143105432787470.286210865574940.85689456721253
1250.1112228836292310.2224457672584610.888777116370769
1260.09361851209725420.1872370241945080.906381487902746
1270.07106255697201720.1421251139440340.928937443027983
1280.0518753840637390.1037507681274780.948124615936261
1290.03785456397317210.07570912794634410.962145436026828
1300.02633001263742250.05266002527484490.973669987362578
1310.01757011001356570.03514022002713140.982429889986434
1320.01157493528749750.0231498705749950.988425064712502
1330.0219721783562650.043944356712530.978027821643735
1340.01520017289366940.03040034578733890.984799827106331
1350.01052140548276210.02104281096552420.989478594517238
1360.007469503879040030.01493900775808010.99253049612096
1370.01350522420680860.02701044841361720.986494775793191
1380.01175574048421570.02351148096843140.988244259515784
1390.01005593748226090.02011187496452170.989944062517739
1400.005439065184234390.01087813036846880.994560934815766
1410.05250084560071810.1050016912014360.947499154399282
1420.04511135693433970.09022271386867930.95488864306566
1430.02750467337292990.05500934674585990.97249532662707
1440.01511930618276550.03023861236553110.984880693817234
1450.006243364495131530.01248672899026310.993756635504868


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level140.102189781021898NOK
5% type I error level370.27007299270073NOK
10% type I error level520.37956204379562NOK