Multiple Linear Regression - Estimated Regression Equation
N12S[t] = -52.4100540892267 + 42.7705862096527N12T[t] + 0.256586786394052N12S1[t] -0.418733841178069N12S12[t] -41.6357254273286N12T1[t] + 45.5257486013084N12T12[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-52.410054089226749.770193-1.0530.2961620.148081
N12T42.770586209652726.4563691.61660.1107250.055362
N12S10.2565867863940520.1091762.35020.0217610.010881
N12S12-0.4187338411780690.108382-3.86350.0002570.000129
N12T1-41.635725427328622.549626-1.84640.0693180.034659
N12T1245.525748601308429.6872021.53350.1299290.064965


Multiple Linear Regression - Regression Statistics
Multiple R0.639027994821959
R-squared0.408356778166173
Adjusted R-squared0.363535321966641
F-TEST (value)9.11074321968223
F-TEST (DF numerator)5
F-TEST (DF denominator)66
p-value1.25979543208476e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation417.328344799402
Sum Squared Residuals11494754.5266186


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19981022.75577002938-24.755770029381
2499497.6208049117221.3791950882784
359-128.356335473738187.356335473738
4175-183.705694068606358.705694068606
5-413-391.6619121193-21.3380878807001
6-223-129.674630979422-93.3253690205783
7110-78.8426050741738188.842605074174
81313.5765464245182-0.576546424518219
974-94.044532480053168.044532480053
1064330.5199963641334612.480003635867
1144450.116928151422-406.116928151422
12216-455.391398108025671.391398108025
13-1189-504.424429654517-684.575570345483
14-47-549.882060295252502.882060295252
15279191.81274904961487.1872509503864
163742.21602869077702371.783971309223
1713127.724453047762-114.724453047762
18152189.643840791474-37.6438407914745
19-27-119.33135821180992.3313582118093
20334-85.8905644670497419.89056446705
2141134.9680217581648376.031978241835
2233-529.934123705366562.934123705366
23313142.316527741241170.683472258759
247514.30120006825166746.698799931748
25446567.781892916376-121.781892916376
26-329-57.429439031096-271.570560968904
27-560-393.821985501602-166.178014498398
28-783-207.577681765463-575.422318234537
29-371-308.805258192241-62.1947418077589
30-308-193.607109436505-114.392890563495
31-264-7.6502527228472-256.349747277153
32-787-154.780577085465-632.219422914535
33-486-315.289133298927-170.710866701073
34-243-167.586030515998-75.4139694840021
35-416-498.96193047429882.9619304742983
36-992-458.391756717271-533.608243282729
37-316-321.9532256181625.95322561816243
38825-69.228510205374894.228510205374
391513427.5235866595531085.47641334045
40138639.794981067667-501.794981067667
41363130.5874959455232.4125040545
4218093.683463813642686.3165361863574
43-493-31.7836351750391-461.216364824961
44-325-49.1063861439158-275.893613856084
45-225212.118253811015-437.118253811015
46-115233.948913624658-348.948913624658
47-145-106.980095825436-38.0199041745636
48-68291.080703924177-359.080703924177
49-335-22.542632735145-312.457367264855
50-832-481.558875205522-350.441124794478
51-931-983.4361231340452.4361231340408
52-149-314.750283784912165.750283784912
53-251-122.819935882812-128.180064117188
54-43-177.213098235085134.213098235085
551484426.8986683896561057.10133161034
56195155.93953316913339.0604668308667
57170226.065000294765-56.0650002947649
58-27777.958640828154-354.958640828154
59-5747.7222745562737-104.722274556274
60-665-33.5039199316133-631.496080068387
61-220-84.0291929230422-135.970807076958
62534198.445981997234335.554018002766
63-449313.865262069252-762.865262069252
64158-100.834334833842258.834334833842
65-261-61.4169414750066-199.583058524993
66-300-154.999571697726-145.000428302274
67-1276-797.76521185113-478.23478814887
68-108-204.25003179122196.2500317912209
69-29-290.745506123803261.745506123803
7030577.1961697126347227.803830287365
71805246.137398853682558.862601146318
72-88560.637223290022-648.637223290022


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.03680609130619750.0736121826123950.963193908693803
100.01662366614743570.03324733229487130.983376333852564
110.01203872991288780.02407745982577560.987961270087112
120.01709980792185760.03419961584371510.982900192078142
130.09251274761342460.1850254952268490.907487252386575
140.08289730004030480.165794600080610.917102699959695
150.1430761181542780.2861522363085560.856923881845722
160.1175196597853380.2350393195706760.882480340214662
170.09355603653790670.1871120730758130.906443963462093
180.09092416923986460.1818483384797290.909075830760135
190.06423243843177650.1284648768635530.935767561568223
200.04391290951194450.08782581902388910.956087090488055
210.03554838019233120.07109676038466240.964451619807669
220.06293644694816380.1258728938963280.937063553051836
230.05247516597773960.1049503319554790.94752483402226
240.1621455880740490.3242911761480990.83785441192595
250.1289946991975080.2579893983950170.871005300802492
260.1179921027886980.2359842055773950.882007897211302
270.1430689662486880.2861379324973750.856931033751312
280.2181573677658020.4363147355316040.781842632234198
290.1806151282211170.3612302564422340.819384871778883
300.1455991687827220.2911983375654450.854400831217278
310.1187561091656040.2375122183312080.881243890834396
320.1671634098451880.3343268196903770.832836590154812
330.1289342388425780.2578684776851570.871065761157422
340.09486348611418250.1897269722283650.905136513885818
350.07834044949487540.1566808989897510.921659550505125
360.08430264676648940.1686052935329790.91569735323351
370.06042630788704340.1208526157740870.939573692112957
380.1737984220534790.3475968441069580.82620157794652
390.5860980934589520.8278038130820960.413901906541048
400.6334184766996910.7331630466006170.366581523300309
410.5901155833746420.8197688332507160.409884416625358
420.5298209777150680.9403580445698630.470179022284932
430.5450950966597740.9098098066804520.454904903340226
440.5048773771889650.990245245622070.495122622811035
450.5130684427121720.9738631145756560.486931557287828
460.5199049699991240.9601900600017530.480095030000876
470.4588993693013410.9177987386026810.54110063069866
480.4239752889768440.8479505779536870.576024711023156
490.384591795841130.769183591682260.61540820415887
500.3336698194995470.6673396389990940.666330180500453
510.2766875872304660.5533751744609310.723312412769535
520.2211405672427470.4422811344854940.778859432757253
530.1665262484502810.3330524969005610.83347375154972
540.1236199596994120.2472399193988240.876380040300588
550.4284814862971020.8569629725942040.571518513702898
560.5963438179254230.8073123641491530.403656182074577
570.5343441718878120.9313116562243760.465655828112188
580.4758200629938670.9516401259877350.524179937006133
590.3695495657062840.7390991314125690.630450434293716
600.3819805874673310.7639611749346620.618019412532669
610.2678164105657170.5356328211314350.732183589434283
620.1692740768984370.3385481537968740.830725923101563
630.1483021915545750.2966043831091490.851697808445425


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0545454545454545NOK
10% type I error level60.109090909090909NOK