Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 41433.5106011802 + 0.998158246327505X[t] -2917.07031357424M1[t] -4883.42917985957M2[t] -5844.67238720495M3[t] -6705.09432199351M4[t] -5706.65455866484M5[t] + 462.027526960597M6[t] + 9147.79114581125M7[t] + 14952.8874585376M8[t] + 9314.87896653174M9[t] + 4907.54056574619M10[t] + 1613.12804336646M11[t] -376.360237931731t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)41433.510601180217590.2654342.35550.0215270.010763
X0.9981582463275050.06361215.691400
M1-2917.070313574244748.529565-0.61430.5411550.270577
M2-4883.429179859574747.570711-1.02860.3074730.153736
M3-5844.672387204954756.019422-1.22890.223540.11177
M4-6705.094321993514765.249537-1.40710.1641670.082084
M5-5706.654558664844808.228098-1.18690.2396060.119803
M6462.0275269605974821.1111650.09580.9239470.461974
M79147.791145811254775.8715071.91540.059840.02992
M814952.88745853764956.1816223.0170.0036420.001821
M99314.878966531744950.516541.88160.064370.032185
M104907.540565746194926.995160.99610.3229190.161459
M111613.128043366464925.5302010.32750.744340.37217
t-376.36023793173142.686818-8.816800


Multiple Linear Regression - Regression Statistics
Multiple R0.947209342671728
R-squared0.897205538844606
Adjusted R-squared0.876646646613528
F-TEST (value)43.6407530503179
F-TEST (DF numerator)13
F-TEST (DF denominator)65
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8525.28419309094
Sum Squared Residuals4724230587.2428


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1274412282441.307154824-8029.30715482375
2272433279922.912199253-7489.912199253
3268361275586.841382008-7225.84138200802
4268586273320.958057324-4734.95805732407
5264768269499.237070071-4731.23707007095
6269974276197.88660543-6223.88660543005
7304744312038.490736554-7294.49073655419
8309365323226.599892659-13861.5998926585
9308347316509.527757306-8162.52775730634
10298427309122.632412167-10695.6324121669
11289231296544.295461629-7313.29546162884
12291975299246.15093807-7271.15093806991
13294912300544.248319670-5632.24831967046
14293488298154.615777876-4666.61577787602
15290555294232.780632857-3677.78063285699
16284736287092.890591356-2356.89059135583
17281818283703.372124763-1885.37212476252
18287854289519.649770368-1665.64977036810
19316263320186.799710777-3923.79971077679
20325412333684.647048883-8272.64704888297
21326011328918.974285101-2907.97428510106
22328282320581.8322894587700.16771054213
23317480310567.7638737356912.23612626488
24317539309804.0139189277734.9860810729
25313737305725.0328275618011.96717243862
26312276303357.3597671868918.64023281386
27309391299957.5613849969433.4386150036
28302950293842.7798624749107.2201375264
29300316291460.4030664258855.59693357526
30304035295109.6791592538925.3208407467
31333476325644.0740529007831.92594709957
32337698334992.5775610232705.42243897683
33335932330090.1571174945841.8428825056
34323931321200.0354533862730.96454661423
35313927310832.6190184633094.38098153691
36314485310019.9593095854465.04069041498
37313218304265.0705226358952.92947736457
38309664302139.9499161187524.05008388223
39302963297236.9252149595726.07478504119
40298989294383.1266831884605.87331681205
41298423294142.7974837584280.20251624208
42301631296899.7201043704731.2798956303
43329765323666.0676181306098.9323818695
44335083330017.1019125325065.89808746825
45327616325573.8342623142042.16573768637
46309119307021.5407737552097.45922624525
47295916294686.7544353211229.24556467944
48291413288739.5687073342673.43129266618
49291542288613.2942714252928.70572857498
50284678281421.5224065493256.47759345106
51276475271122.4542257435352.5457742565
52272566268044.0700885494521.92991145105
53264981261383.5870487403597.41295125958
54263290256510.5880344256779.41196557525
55296806287961.2921982018844.70780179947
56303598295822.5399192957775.46008070471
57286994283489.8294901053504.17050989542
58276427274693.5347011511733.46529884927
59266424263815.0612441082608.93875589164
60267153265501.7897840341651.21021596563
61268381263641.7144742554739.2855257453
62262522257803.4451913994718.55480860128
63255542248521.5002636017020.49973639899
64253158247289.7088821125868.29111788766
65243803236402.0256691077400.97433089318
66250741243476.9808633317264.01913666862
67280445272842.5324505297602.46754947099
68285257278669.5336656086587.46633439169
69270976271293.67708768-317.677087679987
70261076264642.424370084-3566.42437008395
71255603262134.505966744-6531.50596674403
72260376269629.51734205-9253.51734204978
73263903274874.332429629-10971.3324296293
74264291276552.194741619-12261.1947416194
75263276279904.936895835-16628.9368958352
76262572279583.465834997-17011.4658349973
77256167273684.577537137-17517.5775371366
78264221284031.495462823-19810.4954628227
79293860313019.743232909-19159.7432329086


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.0003031599006031160.0006063198012062310.999696840099397
180.0004135432237508720.0008270864475017450.99958645677625
190.0001004289068787890.0002008578137575770.999899571093121
200.0006683254642213630.001336650928442730.999331674535779
210.00191242639399870.00382485278799740.998087573606001
220.8941329993465140.2117340013069730.105867000653486
230.965685651783840.068628696432320.03431434821616
240.9788523312265280.04229533754694360.0211476687734718
250.9809428379297330.03811432414053430.0190571620702671
260.977995956261490.04400808747701880.0220040437385094
270.9697225541239450.06055489175210980.0302774458760549
280.9701197039760430.05976059204791310.0298802960239566
290.9647407754609130.07051844907817360.0352592245390868
300.9650766687198230.06984666256035430.0349233312801772
310.9829062369898680.03418752602026290.0170937630101315
320.999907949463340.0001841010733192079.20505366596034e-05
330.9998929197142150.0002141605715699300.000107080285784965
340.9999906568982671.8686203466313e-059.3431017331565e-06
350.9999972206666255.55866675083073e-062.77933337541536e-06
360.9999972093055135.58138897490804e-062.79069448745402e-06
370.9999953999421459.2001157093108e-064.6000578546554e-06
380.999993112087411.37758251820586e-056.88791259102932e-06
390.999990077949241.98441015197832e-059.9220507598916e-06
400.9999915572303871.68855392259453e-058.44276961297265e-06
410.9999930733975321.38532049357139e-056.92660246785696e-06
420.9999896982604672.06034790649440e-051.03017395324720e-05
430.9999734520461625.30959076763942e-052.65479538381971e-05
440.9999504830525189.90338949647559e-054.95169474823779e-05
450.9999936870019951.26259960098093e-056.31299800490467e-06
460.9999993809750511.23804989712533e-066.19024948562663e-07
470.99999983186343.362732016508e-071.681366008254e-07
480.9999999178118491.64376302575744e-078.21881512878721e-08
490.9999998965095432.06980913317275e-071.03490456658638e-07
500.9999996361466957.27706609056076e-073.63853304528038e-07
510.9999988794285772.24114284495526e-061.12057142247763e-06
520.9999956893787658.62124246968321e-064.31062123484161e-06
530.9999895744366642.08511266725569e-051.04255633362785e-05
540.999999932877211.34245578164038e-076.71227890820189e-08
550.999999966760836.64783390017644e-083.32391695008822e-08
560.999999929222331.41555340513487e-077.07776702567435e-08
570.9999995958968428.0820631691593e-074.04103158457965e-07
580.9999965307450526.93850989492345e-063.46925494746172e-06
590.9999707520249655.84959500705752e-052.92479750352876e-05
600.9998788669150760.0002422661698487530.000121133084924376
610.9998034747028660.0003930505942681650.000196525297134083
620.9982000245927450.003599950814510510.00179997540725526


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level360.782608695652174NOK
5% type I error level400.869565217391304NOK
10% type I error level450.978260869565217NOK