Multiple Linear Regression - Estimated Regression Equation
Y[t] = -2.29101830970334 + 1.18227381282826X[t] -0.528396202113022M1[t] -1.09215623702356M2[t] -1.41384671982294M3[t] -1.40672834794418M4[t] -1.51707239523279M5[t] -1.67619740018946M6[t] -1.85649345552018M7[t] + 0.152145441079096M8[t] -1.98138135702689M9[t] -1.75420734980634M10[t] -1.10066825881478M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2.291018309703340.577156-3.96950.0001839.1e-05
X1.182273812828260.03116637.935300
M1-0.5283962021130220.324777-1.6270.1085860.054293
M2-1.092156237023560.324961-3.36090.0013050.000652
M3-1.413846719822940.333002-4.24587.1e-053.5e-05
M4-1.406728347944180.326229-4.31215.6e-052.8e-05
M5-1.517072395232790.325948-4.65431.6e-058e-06
M6-1.676197400189460.3332-5.03064e-062e-06
M7-1.856493455520180.338322-5.48741e-060
M80.1521454410790960.3397710.44780.6557950.327897
M9-1.981381357026890.345001-5.743100
M10-1.754207349806340.346507-5.06254e-062e-06
M11-1.100668258814780.34011-3.23620.0019070.000954


Multiple Linear Regression - Regression Statistics
Multiple R0.980495588337264
R-squared0.961371598748837
Adjusted R-squared0.954240201594776
F-TEST (value)134.808310066057
F-TEST (DF numerator)12
F-TEST (DF denominator)65
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.583743276693048
Sum Squared Residuals22.1491538504819


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
114.514.6782379180418-0.178237918041825
214.313.99625050184850.303749498151452
315.315.21151597572590.0884840242741036
414.414.5092700599077-0.109270059907701
513.713.9260164874878-0.226016487487795
614.214.3580283889452-0.158028388945250
713.513.7048228084832-0.204822808483219
811.911.69373074146640.206269258533592
914.614.9986634823704-0.398663482370433
1015.615.6987470147223-0.0987470147222814
1114.114.3424206239058-0.242420623905796
1214.915.3248615014378-0.424861501437754
1314.214.4417831554763-0.241783155476253
1414.614.7056147895455-0.105614789545495
1517.217.4578362200996-0.257836220099595
1615.415.6915438727360-0.29154387273596
1714.314.3989260126191-0.0989260126190978
1817.517.19548553973310.304514460266929
1914.514.6506418587458-0.150641858745832
2014.414.29473312968860.105266870311413
2116.616.7720742016128-0.172074201612825
2216.717.1174755901162-0.417475590116195
2316.617.1798777746936-0.57987777469362
2416.917.4529543645286-0.552954364528624
2515.716.0969664934358-0.39696649343582
2616.416.24257074622220.157429253777763
2718.418.8765647954935-0.476564795493512
2816.917.3467272106955-0.44672721069553
2916.516.5270188757100-0.0270188757099678
3018.318.02307720871290.276922791287143
3115.115.1235513838771-0.0235513838771379
3215.715.7134617050825-0.0134617050825008
3318.118.4272575395724-0.327257539572389
3416.816.8810208275505-0.0810208275505417
3518.919.1897432565017-0.289743256501670
361918.98991032120540.0100896787946367
3718.117.87037721267820.22962278732179
3817.817.66129932161610.138700678383852
3921.521.24111242115000.258887578849966
4017.116.63736292299860.462637077001431
4118.719.1280212639321-0.428021263932143
421919.4418057841068-0.44180578410677
4316.416.6605073405539-0.26050734055388
4416.917.0139628991936-0.113962899193588
4518.618.7819396834209-0.181939683420869
4619.319.4820232157727-0.182023215772716
4719.420.2537896880471-0.853789688047104
4817.618.1623186522256-0.56231865222558
4918.619.5255605506378-0.925560550637774
5018.118.6071183718788-0.507118371878757
5120.421.5957945649985-1.19579456499851
5218.118.2925462609581-0.192546260958137
5319.619.6009307890634-0.000930789063447662
5419.920.6240795969350-0.724079596935033
5519.219.02505496621040.174945033789598
5617.818.7873736184360-0.987373618435979
5719.219.13662182726930.0633781727306502
582222.2012529852777-0.201252985277720
5921.121.08138135702690.0186186429731163
6019.518.87168293992250.628317060077465
6122.221.89010817629430.309891823705701
6220.921.6810302852322-0.781030285232237
6322.221.59579456499850.60420543500149
6423.523.49455103740250.00544896259751321
6521.521.37434150830580.125658491694158
6624.324.28912841670260.0108715832973603
6722.822.33542164212950.464578357870471
6820.319.49673790613290.803262093867063
6923.722.68344326575411.01655673424587
7023.322.31948036656050.980519633439453
7119.617.65278729982491.94721270017507
721817.09827222068010.901727779319857
7317.316.09696649343581.20303350656418
7416.816.00611598365660.793884016343421
7518.217.22138145753390.978618542466057
7616.515.92799863530160.572001364698384
771615.34474506288170.655254937118294
7818.417.66839506486440.73160493513562


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.009732492660854120.01946498532170820.990267507339146
170.003168137488616220.006336274977232440.996831862511384
180.01414625521808200.02829251043616410.985853744781918
190.004372359404155540.008744718808311080.995627640595844
200.001306298744187290.002612597488374590.998693701255813
210.0004778106317278270.0009556212634556530.999522189368272
220.0002533114489838210.0005066228979676420.999746688551016
230.0001262049862245390.0002524099724490780.999873795013775
243.99824145091164e-057.99648290182327e-050.99996001758549
251.37223613160377e-052.74447226320754e-050.999986277638684
264.04688491923357e-068.09376983846715e-060.99999595311508
272.45605398836595e-064.9121079767319e-060.999997543946012
288.3617539185452e-071.67235078370904e-060.999999163824608
293.94283250540627e-077.88566501081254e-070.99999960571675
302.16129265549682e-074.32258531099365e-070.999999783870734
317.79334161734906e-081.55866832346981e-070.999999922066584
322.01028992086117e-084.02057984172234e-080.9999999798971
336.03859113494223e-091.20771822698845e-080.999999993961409
342.42324259855201e-094.84648519710403e-090.999999997576757
351.09233485250410e-092.18466970500819e-090.999999998907665
363.4271187090009e-096.8542374180018e-090.999999996572881
376.68598564873209e-091.33719712974642e-080.999999993314014
381.76701960503517e-093.53403921007034e-090.99999999823298
391.59424344158696e-093.18848688317391e-090.999999998405757
401.16794497268976e-082.33588994537951e-080.99999998832055
411.02323293318461e-082.04646586636922e-080.99999998976767
422.21494860165548e-084.42989720331096e-080.999999977850514
431.23356324898483e-082.46712649796967e-080.999999987664367
444.63360642107868e-099.26721284215737e-090.999999995366394
452.52194452470515e-095.04388904941031e-090.999999997478055
461.24834160879368e-092.49668321758737e-090.999999998751658
477.94686583862144e-091.58937316772429e-080.999999992053134
481.18727878670707e-082.37455757341414e-080.999999988127212
493.25961854170414e-076.51923708340828e-070.999999674038146
504.26473317970132e-078.52946635940265e-070.999999573526682
514.44654527463367e-058.89309054926733e-050.999955534547254
522.87118929357833e-055.74237858715666e-050.999971288107064
531.70232491362704e-053.40464982725408e-050.999982976750864
546.35280041356182e-050.0001270560082712360.999936471995864
556.98944357101535e-050.0001397888714203070.99993010556429
560.003263358545111750.00652671709022350.996736641454888
570.02049708773639350.0409941754727870.979502912263607
580.06820101514469820.1364020302893960.931798984855302
590.6203298263986520.7593403472026950.379670173601348
600.5752398797783040.8495202404433910.424760120221696
610.4819902519126810.9639805038253620.518009748087319
620.9915505470677670.01689890586446590.00844945293223293


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.829787234042553NOK
5% type I error level430.914893617021277NOK
10% type I error level430.914893617021277NOK