Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 15515.9166666667 -2132.8410218254M1[t] -2859.02430555556M2[t] -1507.77901785714M3[t] -2251.39087301587M4[t] -1687.43129960317M5[t] -2357.90029761905M6[t] -2422.36929563492M7[t] -2104.69543650794M8[t] -2896.45014880952M9[t] -2143.91914682540M10[t] -2478.67385912698M11[t] + 77.7547123015873t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)15515.9166666667129.27789120.019900
M1-2132.8410218254159.023856-13.412100
M2-2859.02430555556158.904073-17.992100
M3-1507.77901785714158.79562-9.495100
M4-2251.39087301587158.69852-14.186600
M5-1687.43129960317158.612794-10.638700
M6-2357.90029761905158.538461-14.872700
M7-2422.36929563492158.475536-15.285400
M8-2104.69543650794158.424034-13.285200
M9-2896.45014880952158.383965-18.287500
M10-2143.91914682540158.355338-13.538700
M11-2478.67385912698158.338159-15.654300
t77.75471230158731.34664557.739600


Multiple Linear Regression - Regression Statistics
Multiple R0.99130582514897
R-squared0.98268723897428
Adjusted R-squared0.979761138519229
F-TEST (value)335.83510001438
F-TEST (DF numerator)12
F-TEST (DF denominator)71
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation296.212858097258
Sum Squared Residuals6229686.06845238


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11332813460.8303571429-132.830357142866
21287312812.401785714360.5982142857136
31400014241.4017857143-241.401785714286
41347713575.5446428571-98.5446428571411
51423714217.258928571419.7410714285714
61367413624.544642857149.4553571428563
71352913637.8303571429-108.830357142856
81405814033.258928571424.7410714285723
91297513319.2589285714-344.258928571428
101432614149.5446428571176.455357142858
111400813892.5446428571115.455357142857
121619316448.9732142857-255.973214285714
131448314393.886904761989.113095238095
141401113745.4583333333265.541666666668
151505715174.4583333333-117.458333333333
161488414508.6011904762375.39880952381
171541415150.3154761905263.684523809524
181444014557.6011904762-117.60119047619
191490014570.8869047619329.113095238095
201507414966.3154761905107.684523809524
211444214252.3154761905189.684523809524
221530715082.6011904762224.39880952381
231493814825.6011904762112.398809523810
241719317382.0297619048-189.029761904762
251552815326.9434523810201.056547619049
261476514678.514880952486.4851190476186
271583816107.5148809524-269.514880952381
281572315441.6577380952281.342261904762
291615016083.372023809566.6279761904768
301548615490.6577380952-4.65773809523794
311598615503.9434523810482.056547619047
321598315899.372023809583.6279761904762
331569215185.3720238095506.627976190476
341649016015.6577380952474.342261904762
351568615758.6577380952-72.6577380952378
361889718315.0863095238581.91369047619
37163161626056.000000000002
381563615611.571428571424.4285714285714
391716317040.5714285714122.428571428571
401653416374.7142857143159.285714285714
411651817016.4285714286-498.428571428571
421637516423.7142857143-48.7142857142856
431629016437-147.000000000000
441635216832.4285714286-480.428571428571
451594316118.4285714286-175.428571428572
461636216948.7142857143-586.714285714286
471639316691.7142857143-298.714285714286
481905119248.1428571429-197.142857142858
491674717193.0565476190-446.056547619046
501632016544.6279761905-224.627976190477
511791017973.6279761905-63.6279761904764
521696117307.7708333333-346.770833333334
531748017949.4851190476-469.485119047619
541704917356.7708333333-307.770833333333
551687917370.0565476190-491.056547619048
561747317765.4851190476-292.485119047619
571699817051.4851190476-53.4851190476192
581730717881.7708333333-574.770833333333
591741817624.7708333333-206.770833333333
602016920181.1994047619-12.1994047619036
611787118126.1130952381-255.113095238093
621722617477.6845238095-251.684523809524
631906218906.6845238095155.315476190476
641780418240.8273809524-436.827380952381
651910018882.5416666667217.458333333332
661852218289.8273809524232.172619047619
671806018303.1130952381-243.113095238095
681886918698.5416666667170.458333333332
691812717984.5416666667142.458333333333
701887118814.827380952456.1726190476174
711889018557.8273809524332.172619047619
722126321114.2559523810148.744047619047
731954719059.1696428571487.830357142859
741845018410.741071428639.2589285714294
752025419839.7410714286414.258928571429
761924019173.883928571466.1160714285708
772021619815.5982142857400.401785714286
781942019222.8839285714197.116071428572
791941519236.1696428571178.830357142856
802001819631.5982142857386.401785714286
811865218917.5982142857-265.598214285714
821997819747.8839285714230.116071428571
831950919490.883928571418.1160714285713
842197122047.3125-76.3125000000006


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.04807963237522160.09615926475044310.951920367624778
170.01324324667951590.02648649335903170.986756753320484
180.04321078240998880.08642156481997750.956789217590011
190.03150849691365540.06301699382731080.968491503086345
200.01529339052663570.03058678105327140.984706609473364
210.01588121317252550.03176242634505090.984118786827475
220.009666826143101730.01933365228620350.990333173856898
230.006301984355638090.01260396871127620.993698015644362
240.003190945416509860.006381890833019730.99680905458349
250.001433526189196970.002867052378393930.998566473810803
260.002121100964841340.004242201929682690.997878899035159
270.002386156970929970.004772313941859950.99761384302907
280.001314200230774660.002628400461549320.998685799769225
290.001044632477167160.002089264954334310.998955367522833
300.0005141694604559340.001028338920911870.999485830539544
310.0007761227672640410.001552245534528080.999223877232736
320.000452014186878450.00090402837375690.999547985813122
330.002391049005310530.004782098010621060.99760895099469
340.004815882714226750.00963176542845350.995184117285773
350.006866172419029480.01373234483805900.99313382758097
360.1022724671424700.2045449342849410.89772753285753
370.1133385592149830.2266771184299670.886661440785017
380.1597194998159210.3194389996318420.840280500184079
390.1391865740741330.2783731481482670.860813425925867
400.2915853737927790.5831707475855590.708414626207221
410.5844744741667820.8310510516664350.415525525833218
420.5646397968089570.8707204063820860.435360203191043
430.7026217469768730.5947565060462530.297378253023127
440.7823532288567230.4352935422865540.217646771143277
450.7976629207214260.4046741585571470.202337079278574
460.8983544045009920.2032911909980170.101645595499008
470.8768903564156580.2462192871686830.123109643584342
480.8586538489811260.2826923020377480.141346151018874
490.857155395926080.2856892081478400.142844604073920
500.834884746872850.3302305062543010.165115253127151
510.7856957299807910.4286085400384180.214304270019209
520.7729548268072690.4540903463854620.227045173192731
530.8095783382576720.3808433234846570.190421661742328
540.770831147074810.4583377058503790.229168852925189
550.7537279227441820.4925441545116350.246272077255818
560.7303457188033640.5393085623932720.269654281196636
570.7019123473815940.5961753052368110.298087652618406
580.78674223433560.4265155313287990.213257765664400
590.7314442685668570.5371114628662860.268555731433143
600.6697964076784620.6604071846430760.330203592321538
610.8007811678123830.3984376643752340.199218832187617
620.7441795761699550.511640847660090.255820423830045
630.7041095069684140.5917809860631720.295890493031586
640.7764032321241020.4471935357517950.223596767875898
650.7306154254797840.5387691490404330.269384574520216
660.6287885171610070.7424229656779860.371211482838993
670.724631049343990.5507379013120210.275368950656010
680.7528527866189170.4942944267621660.247147213381083


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.207547169811321NOK
5% type I error level170.320754716981132NOK
10% type I error level200.377358490566038NOK