Multiple Linear Regression - Estimated Regression Equation
correctanalysis[t] = -0.0314804957797886 + 0.152155729602312T40[t] + 0.293133602007452used[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.03148049577978860.037058-0.84950.3980460.199023
T400.1521557296023120.0653012.33010.0222310.011116
used0.2931336020074520.0616824.75238e-064e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.537258097779042
R-squared0.288646263629155
Adjusted R-squared0.271505209740701
F-TEST (value)16.8394700528642
F-TEST (DF numerator)2
F-TEST (DF denominator)83
p-value7.27031293390468e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.262797454333299
Sum Squared Residuals5.73218766633716


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.120675233822523-0.120675233822523
20-0.03148049577978880.0314804957797888
30-0.03148049577978860.0314804957797886
40-0.03148049577978860.0314804957797886
50-0.03148049577978860.0314804957797886
60-0.03148049577978860.0314804957797886
70-0.03148049577978860.0314804957797886
800.120675233822523-0.120675233822523
90-0.03148049577978860.0314804957797886
100-0.03148049577978860.0314804957797886
1100.120675233822523-0.120675233822523
120-0.03148049577978860.0314804957797886
1300.261653106227663-0.261653106227663
1400.120675233822523-0.120675233822523
1500.261653106227663-0.261653106227663
1600.413808835829975-0.413808835829975
1710.4138088358299750.586191164170025
1800.120675233822523-0.120675233822523
190-0.03148049577978860.0314804957797886
2010.4138088358299750.586191164170025
210-0.03148049577978860.0314804957797886
2200.261653106227663-0.261653106227663
230-0.03148049577978860.0314804957797886
240-0.03148049577978860.0314804957797886
2500.413808835829975-0.413808835829975
2600.261653106227663-0.261653106227663
270-0.03148049577978860.0314804957797886
2800.261653106227663-0.261653106227663
290-0.03148049577978860.0314804957797886
300-0.03148049577978860.0314804957797886
310-0.03148049577978860.0314804957797886
320-0.03148049577978860.0314804957797886
330-0.03148049577978860.0314804957797886
3400.120675233822523-0.120675233822523
350-0.03148049577978860.0314804957797886
360-0.03148049577978860.0314804957797886
3700.413808835829975-0.413808835829975
3800.261653106227663-0.261653106227663
390-0.03148049577978860.0314804957797886
4000.120675233822523-0.120675233822523
4110.2616531062276630.738346893772337
4200.261653106227663-0.261653106227663
430-0.03148049577978860.0314804957797886
4400.120675233822523-0.120675233822523
450-0.03148049577978860.0314804957797886
460-0.03148049577978860.0314804957797886
470-0.03148049577978860.0314804957797886
480-0.03148049577978860.0314804957797886
490-0.03148049577978860.0314804957797886
500-0.03148049577978860.0314804957797886
5100.413808835829975-0.413808835829975
5210.4138088358299750.586191164170025
530-0.03148049577978860.0314804957797886
5410.2616531062276630.738346893772337
550-0.03148049577978860.0314804957797886
5600.413808835829975-0.413808835829975
5700.261653106227663-0.261653106227663
580-0.03148049577978860.0314804957797886
590-0.03148049577978860.0314804957797886
6010.4138088358299750.586191164170025
6100.120675233822523-0.120675233822523
6200.261653106227663-0.261653106227663
630-0.03148049577978860.0314804957797886
6400.120675233822523-0.120675233822523
650-0.03148049577978860.0314804957797886
660-0.03148049577978860.0314804957797886
6710.4138088358299750.586191164170025
680-0.03148049577978860.0314804957797886
690-0.03148049577978860.0314804957797886
7000.261653106227663-0.261653106227663
710-0.03148049577978860.0314804957797886
720-0.03148049577978860.0314804957797886
7300.261653106227663-0.261653106227663
7400.261653106227663-0.261653106227663
750-0.03148049577978860.0314804957797886
7600.120675233822523-0.120675233822523
770-0.03148049577978860.0314804957797886
7800.261653106227663-0.261653106227663
7910.4138088358299750.586191164170025
8000.120675233822523-0.120675233822523
810-0.03148049577978860.0314804957797886
8200.261653106227663-0.261653106227663
830-0.03148049577978860.0314804957797886
8410.2616531062276630.738346893772337
850-0.03148049577978860.0314804957797886
860-0.03148049577978860.0314804957797886


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
6001
7001
8001
9001
10001
11001
12001
13001
14001
15001
16001
170.1816719113540710.3633438227081420.818328088645929
180.1359267846738390.2718535693476780.864073215326161
190.09521791784853120.1904358356970620.904782082151469
200.3618352246142890.7236704492285790.638164775385711
210.2931588851210740.5863177702421470.706841114878926
220.2938590488200890.5877180976401790.706140951179911
230.2342560148831280.4685120297662550.765743985116872
240.1823696971678430.3647393943356850.817630302832157
250.2566459159915810.5132918319831630.743354084008419
260.235986164100460.4719723282009190.76401383589954
270.1856691719286450.371338343857290.814330828071355
280.1673223950641690.3346447901283370.832677604935831
290.1280102941720860.2560205883441710.871989705827914
300.09577837190607690.1915567438121540.904221628093923
310.07007420592499450.1401484118499890.929925794075006
320.05012681448581850.1002536289716370.949873185514182
330.03505653918122210.07011307836244410.964943460818778
340.02650301596810070.05300603193620140.973496984031899
350.01785037353162170.03570074706324340.982149626468378
360.01175283878800070.02350567757600140.988247161211999
370.01829372834479430.03658745668958870.981706271655206
380.01616333934215310.03232667868430610.983836660657847
390.01066459681190870.02132919362381750.989335403188091
400.007644918834713030.01528983766942610.992355081165287
410.1509241945242550.301848389048510.849075805475745
420.1471073214822760.2942146429645510.852892678517724
430.1136774200093050.2273548400186110.886322579990695
440.09207115270101090.1841423054020220.907928847298989
450.06860390239611110.1372078047922220.931396097603889
460.0500504222009480.1001008444018960.949949577799052
470.03573910487129440.07147820974258880.964260895128706
480.02496936523634420.04993873047268850.975030634763656
490.01706306104815320.03412612209630640.982936938951847
500.01140135114129280.02280270228258550.988598648858707
510.0229327664997320.0458655329994640.977067233500268
520.08853877497784510.177077549955690.911461225022155
530.0656646054827970.1313292109655940.934335394517203
540.3308605212552140.6617210425104280.669139478744786
550.2748028397218390.5496056794436780.725197160278161
560.4303361552322370.8606723104644730.569663844767764
570.4359782504925910.8719565009851810.564021749507409
580.3733723565696910.7467447131393810.62662764343031
590.3139303753576810.6278607507153630.686069624642319
600.4755236032907560.9510472065815110.524476396709244
610.4491373529142030.8982747058284050.550862647085797
620.4521588341019110.9043176682038220.547841165898089
630.3837288260926890.7674576521853780.616271173907311
640.3769967639680170.7539935279360340.623003236031983
650.3103186875706380.6206373751412750.689681312429362
660.2488961145335440.4977922290670880.751103885466456
670.3728946885595560.7457893771191130.627105311440444
680.3016266059414860.6032532118829720.698373394058514
690.236446851708140.4728937034162790.76355314829186
700.2292197772845470.4584395545690930.770780222715453
710.1713718440461610.3427436880923220.828628155953839
720.1231901119428470.2463802238856940.876809888057153
730.1271786360109990.2543572720219980.872821363989001
740.1612756076931090.3225512153862170.838724392306891
750.1095161932406930.2190323864813870.890483806759307
760.0843105261819860.1686210523639720.915689473818014
770.05039067166009040.1007813433201810.94960932833991
780.107619931984230.215239863968460.89238006801577
790.1246448915856790.2492897831713590.875355108414321
800.06449526050965290.1289905210193060.935504739490347


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.146666666666667NOK
5% type I error level210.28NOK
10% type I error level240.32NOK