Multiple Linear Regression - Estimated Regression Equation
T40[t] = + 0.626002101165399 + 0.265016549781742UseLimit[t] -0.0762327475882909Used[t] -0.385441889900005CorrectAnalysis[t] + 0.0128204114906089Useful[t] + 0.025477697016292Outcome[t] -0.00120135143960086t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.6260021011653990.1852593.37910.0011380.000569
UseLimit0.2650165497817420.1054182.5140.0139980.006999
Used-0.07623274758829090.114676-0.66480.5081610.254081
CorrectAnalysis-0.3854418899000050.173557-2.22080.0292630.014632
Useful0.01282041149060890.1021050.12560.9004030.450201
Outcome0.0254776970162920.0938640.27140.7867770.393388
t-0.001201351439600860.001945-0.61770.5385970.269298


Multiple Linear Regression - Regression Statistics
Multiple R0.419395564211147
R-squared0.175892639279986
Adjusted R-squared0.112499765378447
F-TEST (value)2.77464371710264
F-TEST (DF numerator)6
F-TEST (DF denominator)78
p-value0.0169201509594193
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.421012407677986
Sum Squared Residuals13.8256128986675


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.4664407705261450.533559229473855
200.17474517228851-0.17474517228851
300.173543820848909-0.173543820848909
400.172342469409308-0.172342469409308
500.171141117969707-0.171141117969707
600.447613601837531-0.447613601837531
700.168738415090505-0.168738415090505
810.1675370636509050.832462936349095
900.191813409227596-0.191813409227596
1000.430150910553444-0.430150910553444
1110.4289495591138440.571050440886156
1200.162731657892501-0.162731657892501
1300.224942642550582-0.224942642550582
1410.4253455047950410.574654495204959
1500.248017636687672-0.248017636687672
1610.2468162852480720.753183714751928
1710.8705956764739260.129404323526074
1810.4205400990366380.579459900963362
1900.179799894831587-0.179799894831587
2010.6274527693896730.372547230610327
2100.404115633227226-0.404115633227226
2200.504624726392208-0.504624726392208
2300.162174077582575-0.162174077582575
2400.425989275924716-0.425989275924716
2510.2488245337822730.751175466217727
2600.209325073835771-0.209325073835771
2700.435205633096522-0.435205633096522
2800.219742782447178-0.219742782447178
2900.167786380435579-0.167786380435579
3000.128286920489077-0.128286920489077
3100.139905980540085-0.139905980540085
3200.403721178882226-0.403721178882226
3300.389699415952016-0.389699415952016
3410.1617796232375740.838220376762426
3500.135100574781681-0.135100574781681
3600.133899223342081-0.133899223342081
3710.4611267577819030.538873242218097
3800.233206965067462-0.233206965067462
3900.142952454548961-0.142952454548961
4010.1162734060930680.883726593906932
4100.602224389158055-0.602224389158055
4200.228401559309058-0.228401559309058
4300.403163598572299-0.403163598572299
4410.3893049616070150.610695038392985
4500.110266648895064-0.110266648895064
4600.134542994471755-0.134542994471755
4700.120684357506471-0.120684357506471
4800.144960703083162-0.144960703083162
4900.130938940152952-0.130938940152952
5000.117080303187669-0.117080303187669
5110.1921116993363590.807888300663641
5210.8285483760878960.171451623912104
5300.138953945885158-0.138953945885158
5400.573949534917561-0.573949534917561
5500.111073545989664-0.111073545989664
5610.2115826391546460.788417360845354
5700.197560876224436-0.197560876224436
5800.132947188687154-0.132947188687154
5900.131745837247553-0.131745837247553
6010.8444152615873810.155584738412619
6110.3943596841500930.605640315849907
6200.16607642201014-0.16607642201014
6300.101462734472857-0.101462734472857
6410.390755629831290.60924437016871
6500.0990600315936557-0.0990600315936557
6600.0978586801540549-0.0978586801540549
6710.5455115547121410.454488445287859
6800.360472527056595-0.360472527056595
6900.119732322851544-0.119732322851544
7000.169286021983942-0.169286021983942
7100.0918519229560505-0.0918519229560505
7200.116128268532742-0.116128268532742
7300.191159664681432-0.191159664681432
7400.429497166007281-0.429497166007281
7500.112524214213939-0.112524214213939
7610.09850245128372940.901497548716271
7700.110121511334737-0.110121511334737
7800.172332495992818-0.172332495992818
7910.5693934459438320.430606554056168
8010.06821934850903410.931780651490966
8100.079838408560042-0.079838408560042
8200.445364051506766-0.445364051506766
8300.0774357056808403-0.0774357056808403
8400.537908991729536-0.537908991729536
8500.0876902883273216-0.0876902883273216


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9120315739030080.1759368521939840.0879684260969921
110.9100833398808350.179833320238330.0899166601191648
120.8473756591251750.305248681749650.152624340874825
130.7655481916906670.4689036166186650.234451808309333
140.7269428029739830.5461143940520340.273057197026017
150.6362489164091960.7275021671816090.363751083590804
160.7783615041432810.4432769917134390.221638495856719
170.7010945137888610.5978109724222780.298905486211139
180.6598243503056030.6803512993887930.340175649694397
190.6280756202408360.7438487595183290.371924379759164
200.6038882463708710.7922235072582590.396111753629129
210.52671283833070.9465743233385990.4732871616693
220.6807277415505610.6385445168988770.319272258449439
230.6285300914003940.7429398171992130.371469908599606
240.5802806744664010.8394386510671990.419719325533599
250.587617643960350.82476471207930.41238235603965
260.5221358899119790.9557282201760420.477864110088021
270.5982593504779720.8034812990440570.401740649522028
280.6040937706935340.7918124586129310.395906229306466
290.5353734632429030.9292530735141930.464626536757097
300.5054314682071630.9891370635856740.494568531792837
310.4356840391609910.8713680783219810.564315960839009
320.4141287832359060.8282575664718120.585871216764094
330.3980753619943150.796150723988630.601924638005685
340.6192485687024830.7615028625950330.380751431297517
350.5562081209490390.8875837581019210.443791879050961
360.4915601381257080.9831202762514160.508439861874292
370.5417017230079270.9165965539841470.458298276992073
380.5319400480029150.9361199039941710.468059951997085
390.4782526942513740.9565053885027470.521747305748626
400.7238276155421120.5523447689157770.276172384457888
410.7855477179497770.4289045641004460.214452282050223
420.7488181506646020.5023636986707960.251181849335398
430.7673029455649330.4653941088701340.232697054435067
440.8057786273468060.3884427453063890.194221372653194
450.7651171327801730.4697657344396530.234882867219827
460.7383568022417890.5232863955164230.261643197758211
470.6859275939000530.6281448121998940.314072406099947
480.6345556783725660.7308886432548680.365444321627434
490.6319702431445650.736059513710870.368029756855435
500.5759925120584320.8480149758831360.424007487941568
510.7943437919593250.411312416081350.205656208040675
520.7413232880280130.5173534239439740.258676711971987
530.6993456372197180.6013087255605630.300654362780282
540.7496724222626120.5006551554747770.250327577737388
550.6965190463555480.6069619072889040.303480953644452
560.922194926243380.1556101475132410.0778050737566205
570.9028800129221360.1942399741557280.097119987077864
580.8759457698930340.2481084602139310.124054230106966
590.8509455944773850.2981088110452290.149054405522615
600.883217651388860.233564697222280.11678234861114
610.8795606308395340.2408787383209330.120439369160466
620.8641792035534970.2716415928930070.135820796446503
630.8191519756963550.3616960486072890.180848024303645
640.8813014868415950.237397026316810.118698513158405
650.8334337219934630.3331325560130740.166566278006537
660.7743652460375580.4512695079248840.225634753962442
670.7337465432307680.5325069135384630.266253456769232
680.7430597995538590.5138804008922810.256940200446141
690.6968861360690320.6062277278619370.303113863930968
700.6106135472619730.7787729054760540.389386452738027
710.5584417721925340.8831164556149310.441558227807466
720.535226065125170.929547869749660.46477393487483
730.4666019042937220.9332038085874440.533398095706278
740.5874048851893810.8251902296212370.412595114810619
750.5465169999869770.9069660000260470.453483000013023


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