Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = -0.0987694010088903 + 0.0456935068339825UseLimit[t] + 0.136486977088368T40[t] -0.10581292308639T20[t] + 0.27960795316419Used[t] + 0.110972976254381Useful[t] -0.0478061722217214`Outcome\r\r`[t] + 0.00191941881644583t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.09876940100889030.076434-1.29220.2012340.100617
UseLimit0.04569350683398250.0766090.59650.5531160.276558
T400.1364869770883680.0788461.7310.0885830.044291
T20-0.105812923086390.077196-1.37070.1755760.087788
Used0.279607953164190.0829843.36940.0013210.000661
Useful0.1109729762543810.0730631.51890.1340480.067024
`Outcome\r\r`-0.04780617222172140.064379-0.74260.4606390.23032
t0.001919418816445830.0016211.1840.24110.12055


Multiple Linear Regression - Regression Statistics
Multiple R0.601582661284846
R-squared0.361901698358558
Adjusted R-squared0.287456896500389
F-TEST (value)4.86134275765889
F-TEST (DF numerator)7
F-TEST (DF denominator)60
p-value0.00021774676359676
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.258420909318052
Sum Squared Residuals4.00688198236612


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.0375243295081849-0.0375243295081849
20-0.2007434864623890.200743486462389
30-0.09301114455955270.0930111445595527
40-0.09109172574310710.0910917257431071
50-0.08917230692666110.0891723069266611
60-0.08420550032996360.0842055003299636
70-0.08533346929376950.0853334692937695
800.0530729266110446-0.0530729266110446
90-0.2351137269689890.235113726968989
100-0.03388170601044950.0338817060104495
110-0.001288233192025680.00128823319202568
120-0.07573637521154030.0757363752115403
1300.316763973023477-0.316763973023477
1400.110282946343702-0.110282946343702
1500.272796638434647-0.272796638434647
1600.411203034339461-0.411203034339461
1710.5066221322116110.493377867788389
1800.117960621609485-0.117960621609485
190-0.2159195388045310.215919538804531
2010.4188807096052440.581119290394756
2100.0982048772248355-0.0982048772248355
2200.22611315389736-0.22611315389736
2300.00854403580202322-0.00854403580202322
2400.0561569614524516-0.0561569614524516
2500.211691904346702-0.211691904346702
2600.235903494550882-0.235903494550882
270-0.04905775835259180.0490577583525918
2800.128769355929393-0.128769355929393
290-0.09091242755368260.0909124275536826
3000.0697861397388655-0.0697861397388655
310-0.03926741769906950.0392674176990695
3200.00834550795135879-0.00834550795135879
3300.121237903022185-0.121237903022185
3400.0551716436169147-0.0551716436169147
350-0.03158974243328620.0315897424332862
360-0.02967032361684040.0296703236168404
3700.439197585454137-0.439197585454137
3800.20597029495852-0.20597029495852
3900.0392547368651565-0.0392547368651565
4000.119654381905302-0.119654381905302
4110.3227015276622380.677298472337762
4200.213647970224304-0.213647970224304
4300.0926259189649223-0.0926259189649223
4400.167865510837077-0.167865510837077
4500.0985774219855529-0.0985774219855529
4600.0526906685802773-0.0526906685802773
470-0.008556716635936240.00855671663593624
480-0.05444347004121180.0544434700412118
4900.0584489250296148-0.0584489250296148
500-0.002798460186598750.00279846018659875
5100.415215888882406-0.415215888882406
5210.4679888677008250.532011132299175
530-0.1506592990453730.150659299045373
5410.2844871682433750.715512831756625
5500.0067986338956304-0.0067986338956304
5600.271193887656523-0.271193887656523
5700.353412228725372-0.353412228725372
580-0.03524928187675350.0352492818767535
590-0.03332986306030770.0333298630603077
6010.435538046010670.56446195398933
6100.0468765354085444-0.0468765354085444
6200.305002571942932-0.305002571942932
6300.022153984427197-0.022153984427197
6400.158447714944272-0.158447714944272
6500.0259928220600887-0.0259928220600887
6600.0279122408765345-0.0279122408765345
6710.556899566199920.44310043380008
6800.0774445853434087-0.0774445853434087


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
11001
12001
13001
14001
15001
16001
170.3449004585325250.6898009170650510.655099541467475
180.2617936400255710.5235872800511430.738206359974429
190.2581202961894560.5162405923789110.741879703810544
200.7314505894475340.5370988211049310.268549410552465
210.6539132638878490.6921734722243010.346086736112151
220.6308656976803040.7382686046393920.369134302319696
230.5458446519191480.9083106961617050.454155348080852
240.4600075067075390.9200150134150780.539992493292461
250.4194397762336160.8388795524672320.580560223766384
260.3777902278335130.7555804556670260.622209772166487
270.318835107325980.637670214651960.68116489267402
280.251033017110980.502066034221960.74896698288902
290.2033150322461130.4066300644922270.796684967753887
300.1521101262477120.3042202524954240.847889873752288
310.114063629678090.228127259356180.88593637032191
320.081096915408070.162193830816140.91890308459193
330.05678106298536540.1135621259707310.943218937014635
340.04013007516814670.08026015033629350.959869924831853
350.02759137987935210.05518275975870430.972408620120648
360.01891115770227240.03782231540454470.981088842297728
370.03116368747031640.06232737494063280.968836312529684
380.0239208163403490.04784163268069790.976079183659651
390.01466584912226510.02933169824453010.985334150877735
400.008771044318755520.0175420886375110.991228955681244
410.1260783443029870.2521566886059740.873921655697013
420.1047082518073210.2094165036146430.895291748192679
430.07946198339559270.1589239667911850.920538016604407
440.06558581990411690.1311716398082340.934414180095883
450.0471091075759530.09421821515190590.952890892424047
460.03034698123674860.06069396247349710.969653018763251
470.01877576271402310.03755152542804620.981224237285977
480.01131563874668580.02263127749337170.988684361253314
490.006485154450953070.01297030890190610.993514845549047
500.003522519451998080.007045038903996160.996477480548002
510.029483205890410.058966411780820.97051679410959
520.0580178604850620.1160357209701240.941982139514938
530.06498295808360540.1299659161672110.935017041916395
540.3187134868988970.6374269737977930.681286513101103
550.2147657112680810.4295314225361610.785234288731919
560.1344581145158790.2689162290317570.865541885484121
570.252536903228330.5050738064566590.74746309677167


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level70.148936170212766NOK
5% type I error level140.297872340425532NOK
10% type I error level200.425531914893617NOK