Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 3540.69197220561 + 0.130932028247944`Yt-1`[t] + 0.201818490077343`Yt-2`[t] + 0.264823448542267`Yt-3`[t] + 385.773255960307M1[t] -436.30006975701M2[t] + 469.50316191611M3[t] + 72.8939494758238M4[t] + 333.401103073757M5[t] + 79.6860766985089M6[t] + 718.477094565068M7[t] + 477.862169357032M8[t] + 160.8783375403M9[t] + 134.048534247597M10[t] -554.848198896826M11[t] + 5.16340774563452t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3540.691972205611487.8911512.37970.0207590.01038
`Yt-1`0.1309320282479440.1339030.97780.3323710.166186
`Yt-2`0.2018184900773430.1290491.56390.1234760.061738
`Yt-3`0.2648234485422670.1342511.97260.0534860.026743
M1385.773255960307200.1878081.92710.0590520.029526
M2-436.30006975701220.764862-1.97630.0530530.026527
M3469.50316191611159.0440282.9520.0046050.002303
M472.8939494758238235.720340.30920.7582870.379144
M5333.401103073757212.066041.57220.1215480.060774
M679.6860766985089183.3585010.43460.6655290.332764
M7718.477094565068182.2649613.94190.0002270.000113
M8477.862169357032222.7425832.14540.0362750.018138
M9160.8783375403205.8738380.78140.4378340.218917
M10134.048534247597177.7129110.75430.453830.226915
M11-554.848198896826184.793507-3.00250.0039960.001998
t5.163407745634522.4226492.13130.0374670.018733


Multiple Linear Regression - Regression Statistics
Multiple R0.881471388071222
R-squared0.776991807988208
Adjusted R-squared0.717257470842192
F-TEST (value)13.0074567679376
F-TEST (DF numerator)15
F-TEST (DF denominator)56
p-value3.57713858534225e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation268.914224668373
Sum Squared Residuals4049632.17282355


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197439522.5163397682220.483660231804
285878628.5703692345-41.5703692344936
397319521.97243930522209.027560694778
495639221.52935298616341.470647013836
599989389.9477797177608.052220282304
694379467.4041121753-30.4041121752984
71003810081.2063737689-43.2063737689387
899189926.42303246605-8.42303246604785
992529571.61772290947-319.617722909469
1097379597.6912703139139.308729686109
1190358811.27005039877223.729949601227
1291339200.87692416954-67.8769241695381
1394879591.40771915248-104.407719152483
1487008654.7198903314845.2801096685198
1596279560.0394669636366.9605330363746
1689479224.88400154791-277.884001547911
1792839380.19046998181-97.1904699818096
1888299283.88677638959-454.886776389593
1999479756.12912883447190.870871165534
2096289664.41470316835-36.4147031683539
2193189416.23018835444-98.230188354443
2296059585.667381186119.3326188139060
2386408792.4691358855-152.469135885506
2492149201.957972872812.0420271272052
2595679549.2991076000517.7008923999494
2685478638.897381061-91.8973810609994
2791859639.56393812742-454.563938127415
2894709219.28058491148250.719415088518
2991239380.90705346195-257.907053461946
3092789313.3976508723-35.3976508723051
31101709983.09020764064186.909792359363
3294349803.81818869322-369.818188693224
3396559616.7015195046838.2984804953184
3494299711.65520960319-282.655209603186
3587398848.02307400035-109.023074000347
3695529330.60658452209221.393415477913
3796879628.8861296696958.1138703303121
3890198811.0022884502207.997711549807
3996729877.05329282463-205.053292824626
4092069472.04251675742-266.042516757423
4190699631.58416333172-562.584163331719
4297889443.9771523542344.022847645804
431031210031.0148461154280.985153884632
44101059972.99839337021132.001606629791
4598639930.2359877542-67.2359877542051
4696569973.87510096127-317.875100961272
4792959159.38031726819135.619682731807
4899469566.2617597199379.738240280093
4997019914.7602450491-213.760245049090
5090499101.55455227325-52.5545522732525
511019010050.1080442064139.891955793585
5297069611.5882833193894.4117166806158
5397659871.49775171964-106.497751719637
5498939835.1545283459557.845471654055
55999410379.6009953940-385.600995393981
561043310198.8309629785234.169037021484
57100739998.7707682194974.2292317805122
581011210045.314327949966.6856720501176
5992669410.29018913498-144.290189134975
6098209772.0677795174847.9322204825248
611009710075.130458760521.8695412395063
6291159182.25551864958-67.2555186495814
631041110167.2628185727243.737181427304
6496789820.67526047764-142.675260477636
65104089991.87278178719416.127218212808
661015310034.1797798627118.820220137337
671036810597.9584482466-229.958448246609
681058110532.514719323648.4852806763516
691059710224.4438132577372.556186742286
701068010304.7967099857375.203290014326
7197389691.567233312246.4327666877946
72955610149.2289791982-593.228979198198


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.7242996478483510.5514007043032970.275700352151649
200.638018728966440.7239625420671190.361981271033559
210.5762434137763850.847513172447230.423756586223615
220.468246369568690.936492739137380.53175363043131
230.3771517988888240.7543035977776480.622848201111176
240.4560714869196270.9121429738392540.543928513080373
250.4029166911743630.8058333823487250.597083308825637
260.316443032043290.632886064086580.68355696795671
270.2824303818338600.5648607636677210.71756961816614
280.5428545025999660.9142909948000680.457145497400034
290.4999872540053590.9999745080107190.500012745994641
300.4457816473962380.8915632947924770.554218352603762
310.6793760319468320.6412479361063360.320623968053168
320.7154441832585590.5691116334828830.284555816741441
330.7381578944039840.5236842111920320.261842105596016
340.6705675789493180.6588648421013640.329432421050682
350.693831641360630.612336717278740.30616835863937
360.7147343043645040.5705313912709920.285265695635496
370.6725455200106820.6549089599786350.327454479989317
380.6852059516502740.6295880966994530.314794048349726
390.6082902175835660.7834195648328680.391709782416434
400.5526765059190950.894646988161810.447323494080905
410.7828173920734970.4343652158530070.217182607926503
420.8261913777303640.3476172445392720.173808622269636
430.8109404976211260.3781190047577470.189059502378874
440.8052589679741780.3894820640516440.194741032025822
450.7407072863006870.5185854273986260.259292713699313
460.675692339728250.6486153205434990.324307660271750
470.5883276789018770.8233446421962460.411672321098123
480.7809079548744670.4381840902510650.219092045125533
490.6950575289699510.6098849420600980.304942471030049
500.7004410507624170.5991178984751670.299558949237583
510.7213533359551710.5572933280896580.278646664044829
520.7720657929311680.4558684141376630.227934207068832
530.6292870796234630.7414258407530740.370712920376537


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