Multiple Linear Regression - Estimated Regression Equation
Used[t] = + 14.8998521934881 + 0.67241862676928Correctanal[t] -0.0951388356000594uselimit[t] + 0.159323996262626useful[t] + 0.0709581898357269T40[t] + 0.0693788122346552outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14.899852193488112.9479761.15070.2532640.126632
Correctanal0.672418626769280.1560014.31034.6e-052.3e-05
uselimit-0.09513883560005940.10325-0.92140.3595920.179796
useful0.1593239962626260.0970851.64110.1047090.052354
T400.07095818983572690.1093410.6490.5182230.259111
outcome0.06937881223465520.0902460.76880.4442910.222146


Multiple Linear Regression - Regression Statistics
Multiple R0.533704990484674
R-squared0.284841016868246
Adjusted R-squared0.240143580422511
F-TEST (value)6.3726477292285
F-TEST (DF numerator)5
F-TEST (DF denominator)80
p-value4.9740959433775e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20.5432947228294
Sum Squared Residuals33762.1566455224


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15061.0067999921157-11.0067999921157
25058.7468916685995-8.74689166859952
35058.7468916685995-8.74689166859952
45058.7468916685995-8.74689166859954
55058.7468916685995-8.74689166859953
65065.4250903134606-15.4250903134606
75058.7468916685995-8.74689166859953
85062.2948011603859-12.2948011603859
95062.2158322803323-12.2158322803323
105053.9899498885966-3.98994988859656
115057.5378593803829-7.5378593803829
125058.7468916685995-8.74689166859953
1310066.713091481730833.2869085182692
145057.5378593803829-7.5378593803829
1510070.182032093463629.8179679065364
1610073.729941585249926.2700584147501
1710099.12499053197820.875009468021765
185057.5378593803829-7.5378593803829
195062.2158322803323-12.2158322803323
20100107.350872923714-7.35087292371396
215061.9561497017279-11.9561497017279
2210065.425090313460634.5749096865394
235070.1820320934636-20.1820320934636
245065.4250903134606-15.4250903134606
2510065.763741772118634.2362582278814
2610066.713091481730833.2869085182692
275057.4588905003293-7.45889050032932
2810058.746891668599541.2531083314005
295062.2158322803323-12.2158322803323
305066.7130914817308-16.7130914817308
315058.7468916685995-8.74689166859953
325053.9899498885966-3.98994988859656
335061.9561497017279-11.9561497017279
345065.7637417721186-15.7637417721186
355058.7468916685995-8.74689166859953
365058.7468916685995-8.74689166859953
3710065.504059193514234.4959408064858
3810062.215832280332337.7841677196677
395070.1820320934636-20.1820320934636
405070.2610009735172-20.2610009735172
41100103.802963431928-3.80296343192762
4210062.215832280332337.7841677196677
435065.4250903134606-15.4250903134606
445057.5378593803829-7.5378593803829
455066.7130914817308-16.7130914817308
465070.1820320934636-20.1820320934636
475058.7468916685995-8.74689166859953
485062.2158322803323-12.2158322803323
495070.1820320934636-20.1820320934636
505058.7468916685995-8.74689166859953
5110062.294801160385937.7051988396141
5210099.12499053197820.875009468021765
535062.2158322803323-12.2158322803323
5410092.36782300706357.63217699293645
555058.7468916685995-8.74689166859953
5610065.763741772118634.2362582278814
5710070.182032093463629.8179679065364
585062.2158322803323-12.2158322803323
595062.2158322803323-12.2158322803323
60100102.593931143711-2.59393114371099
615061.0067999921157-11.0067999921157
6210066.713091481730833.2869085182692
635058.7468916685995-8.74689166859953
645061.0067999921157-11.0067999921157
655058.7468916685995-8.74689166859953
665058.7468916685995-8.74689166859953
67100103.881932311981-3.8819323119812
685053.9899498885966-3.98994988859656
695062.2158322803323-12.2158322803323
7010058.746891668599541.2531083314005
715058.7468916685995-8.74689166859953
725062.2158322803323-12.2158322803323
7310062.215832280332337.7841677196677
7410053.989949888596646.0100501114034
755062.2158322803323-12.2158322803323
765073.7299415852499-23.72994158525
775062.2158322803323-12.2158322803323
7810070.182032093463629.8179679065364
7910099.38467311058270.615326889417349
805070.2610009735172-20.2610009735172
815058.7468916685995-8.74689166859953
8210057.458890500329342.5411094996707
835058.7468916685995-8.74689166859953
8410092.36782300706357.63217699293645
855070.1820320934636-20.1820320934636
865053.9899498885966-3.98994988859656


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
96.77054496660541e-951.35410899332108e-941
103.08728550853195e-646.17457101706389e-641
118.18422347986106e-791.63684469597221e-781
128.50530669564521e-951.70106133912904e-941
130.02759896341053730.05519792682107470.972401036589463
140.01213132415944210.02426264831888420.987868675840558
150.02033087031491650.0406617406298330.979669129685083
160.0109672263305130.0219344526610260.989032773669487
170.00496182679983060.00992365359966120.995038173200169
180.002245372053917150.004490744107834290.997754627946083
190.0009785574012493920.001957114802498780.999021442598751
200.0004839835349864080.0009679670699728160.999516016465014
210.001729865501827640.003459731003655270.998270134498172
220.009432916448797580.01886583289759520.990567083551202
230.04057157743726670.08114315487453330.959428422562733
240.04102776969471920.08205553938943850.958972230305281
250.1040790834794890.2081581669589790.895920916520511
260.1212570283959370.2425140567918750.878742971604063
270.1024183222698460.2048366445396910.897581677730154
280.3083598108905390.6167196217810770.691640189109461
290.2578526332466820.5157052664933640.742147366753318
300.3107186005772650.621437201154530.689281399422735
310.2567426732998580.5134853465997160.743257326700142
320.2151698585923150.430339717184630.784830141407685
330.1880246144194720.3760492288389450.811975385580528
340.1786220120633180.3572440241266360.821377987936682
350.1418869766485760.2837739532971520.858113023351424
360.1109560518080520.2219121036161030.889043948191948
370.144786911059920.2895738221198390.85521308894008
380.2976963366403150.595392673280630.702303663359685
390.3230770482904450.646154096580890.676922951709555
400.3629097090993410.7258194181986830.637090290900659
410.3025598368988280.6051196737976560.697440163101172
420.4455996960620060.8911993921240120.554400303937994
430.4198912153495810.8397824306991620.580108784650419
440.3704910695383510.7409821390767020.629508930461649
450.3524158651350560.7048317302701110.647584134864944
460.3529136749755620.7058273499511230.647086325024438
470.3037122421844240.6074244843688470.696287757815576
480.2640014144206160.5280028288412330.735998585579384
490.26541380552250.5308276110450.7345861944775
500.2234485059754970.4468970119509940.776551494024503
510.3886530062565110.7773060125130210.611346993743489
520.3306034108954810.6612068217909620.669396589104519
530.2912762448184740.5825524896369480.708723755181526
540.2444188740948330.4888377481896670.755581125905167
550.2008338029705330.4016676059410670.799166197029467
560.4670962392955260.9341924785910510.532903760704474
570.4878003105229470.9756006210458950.512199689477053
580.4370038476667270.8740076953334540.562996152333273
590.3891702090323750.778340418064750.610829790967625
600.3591428555878060.7182857111756120.640857144412194
610.2979626835031880.5959253670063750.702037316496812
620.3614473827466630.7228947654933270.638552617253337
630.2967330938919170.5934661877838340.703266906108083
640.2462723065708710.4925446131417410.753727693429129
650.1917343244135340.3834686488270690.808265675586466
660.1452030242547760.2904060485095530.854796975745224
670.1057269401267440.2114538802534890.894273059873256
680.1134291250595680.2268582501191350.886570874940432
690.09021946201394760.1804389240278950.909780537986052
700.2993644495142980.5987288990285950.700635550485702
710.2218989973197690.4437979946395380.778101002680231
720.1805618043904210.3611236087808420.819438195609579
730.4047873390207330.8095746780414660.595212660979267
740.5204307904123910.9591384191752180.479569209587609
750.4110507162849320.8221014325698630.588949283715068
760.3221590667910250.644318133582050.677840933208975
770.2531740431858190.5063480863716370.746825956814181


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.130434782608696NOK
5% type I error level130.188405797101449NOK
10% type I error level160.231884057971014NOK