Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 3540.69197220564 + 0.130932028247943`Yt-1`[t] + 0.201818490077341`Yt-2`[t] + 0.264823448542266`Yt-3`[t] + 385.773255960303M1[t] -436.300069757011M2[t] + 469.50316191611M3[t] + 72.8939494758225M4[t] + 333.401103073757M5[t] + 79.6860766985085M6[t] + 718.477094565067M7[t] + 477.862169357032M8[t] + 160.878337540301M9[t] + 134.048534247598M10[t] -554.848198896825M11[t] + 5.16340774563458t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3540.691972205641487.8911512.37970.0207590.01038
`Yt-1`0.1309320282479430.1339030.97780.3323710.166186
`Yt-2`0.2018184900773410.1290491.56390.1234760.061738
`Yt-3`0.2648234485422660.1342511.97260.0534860.026743
M1385.773255960303200.1878081.92710.0590520.029526
M2-436.300069757011220.764862-1.97630.0530530.026527
M3469.50316191611159.0440282.9520.0046050.002303
M472.8939494758225235.720340.30920.7582870.379144
M5333.401103073757212.066041.57220.1215480.060774
M679.6860766985085183.3585010.43460.6655290.332764
M7718.477094565067182.2649613.94190.0002270.000113
M8477.862169357032222.7425832.14540.0362750.018138
M9160.878337540301205.8738380.78140.4378340.218917
M10134.048534247598177.7129110.75430.453830.226915
M11-554.848198896825184.793507-3.00250.0039960.001998
t5.163407745634582.4226492.13130.0374670.018733


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 Deviation268.914224668372
Sum Squared Residuals4049632.17282355


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197439522.51633976821220.48366023179
285878628.5703692345-41.5703692344929
397319521.97243930522209.02756069478
495639221.52935298616341.470647013838
599989389.9477797177608.052220282305
694379467.4041121753-30.4041121752958
71003810081.2063737689-43.2063737689353
899189926.42303246605-8.42303246604665
992529571.61772290947-319.617722909468
1097379597.69127031389139.30872968611
1190358811.27005039877223.729949601227
1291339200.87692416954-67.8769241695368
1394879591.40771915248-104.407719152479
1487008654.7198903314845.28010966852
1596279560.0394669636266.9605330363752
1689479224.88400154791-277.88400154791
1792839380.19046998181-97.1904699818093
1888299283.88677638959-454.886776389594
1999479756.12912883447190.870871165534
2096289664.41470316836-36.414703168355
2193189416.23018835444-98.230188354443
2296059585.667381186119.3326188139058
2386408792.4691358855-152.469135885506
2492149201.957972872812.0420271272051
2595679549.2991076000517.7008923999518
2685478638.897381061-91.8973810609998
2791859639.56393812742-454.563938127416
2894709219.28058491148250.719415088517
2991239380.90705346195-257.907053461947
3092789313.3976508723-35.3976508723052
31101709983.09020764064186.909792359361
3294349803.81818869323-369.818188693225
3396559616.7015195046838.2984804953184
3494299711.65520960319-282.655209603187
3587398848.02307400035-109.023074000348
3695529330.60658452209221.393415477912
3796879628.8861296696958.1138703303142
3890198811.0022884502207.997711549807
3996729877.05329282463-205.053292824627
4092069472.04251675742-266.042516757423
4190699631.58416333172-562.58416333172
4297889443.9771523542344.022847645803
431031210031.0148461154280.98515388463
44101059972.99839337021132.001606629791
4598639930.2359877542-67.2359877542048
4696569973.87510096127-317.875100961272
4792959159.38031726819135.619682731807
4899469566.2617597199379.738240280092
4997019914.76024504909-213.760245049086
5090499101.55455227325-52.554552273252
511019010050.1080442064139.891955793584
5297069611.5882833193894.4117166806154
5397659871.49775171964-106.497751719637
5498939835.1545283459557.8454716540549
55999410379.600995394-385.600995393981
561043310198.8309629785234.169037021484
57100739998.7707682194974.2292317805112
581011210045.314327949966.6856720501176
5992669410.29018913498-144.290189134976
6098209772.0677795174847.9322204825245
611009710075.130458760521.8695412395087
6291159182.25551864958-67.2555186495819
631041110167.2628185727243.737181427304
6496789820.67526047764-142.675260477637
65104089991.87278178719416.127218212808
661015310034.1797798627118.820220137337
671036810597.9584482466-229.958448246608
681058110532.514719323648.4852806763519
691059710224.4438132577372.556186742286
701068010304.7967099857375.203290014327
7197389691.567233312246.4327666877956
72955610149.2289791982-593.228979198197


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.7242996478483540.5514007043032920.275700352151646
200.638018728966440.7239625420671190.361981271033559
210.5762434137763780.8475131724472440.423756586223622
220.468246369568690.936492739137380.53175363043131
230.3771517988888260.7543035977776520.622848201111174
240.4560714869196320.9121429738392640.543928513080368
250.4029166911743630.8058333823487260.597083308825637
260.316443032043290.632886064086580.68355696795671
270.282430381833860.564860763667720.71756961816614
280.5428545025999680.9142909948000650.457145497400032
290.4999872540053590.9999745080107190.500012745994641
300.4457816473962180.8915632947924360.554218352603782
310.6793760319468220.6412479361063570.320623968053178
320.7154441832585590.5691116334828830.284555816741441
330.7381578944039870.5236842111920270.261842105596013
340.6705675789493220.6588648421013570.329432421050678
350.6938316413606280.6123367172787440.306168358639372
360.7147343043645030.5705313912709930.285265695635496
370.6725455200106820.6549089599786360.327454479989318
380.685205951650280.6295880966994420.314794048349721
390.6082902175835660.7834195648328680.391709782416434
400.5526765059191040.8946469881617930.447323494080896
410.7828173920734950.434365215853010.217182607926505
420.8261913777303680.3476172445392640.173808622269632
430.810940497621130.3781190047577410.18905950237887
440.8052589679741770.3894820640516460.194741032025823
450.7407072863006820.5185854273986350.259292713699317
460.6756923397282530.6486153205434940.324307660271747
470.5883276789018590.8233446421962820.411672321098141
480.7809079548744640.4381840902510710.219092045125536
490.6950575289699570.6098849420600870.304942471030043
500.7004410507624110.5991178984751780.299558949237589
510.7213533359551720.5572933280896560.278646664044828
520.7720657929311630.4558684141376740.227934207068837
530.6292870796234460.7414258407531090.370712920376554


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