Multiple Linear Regression - Estimated Regression Equation
y[t] = + 21386.0345240392 + 4570.5834593585x[t] + 0.937414189322683y1[t] + 0.134008529853577y2[t] + 0.126857011464927y3[t] -0.259803480419487y4[t] + 0.00246372856114373y5[t] -3682.13734938526M1[t] -8617.31854672714M2[t] -7066.4047264724M3[t] -9287.79908724293M4[t] -5147.02671990541M5[t] + 17983.3445346842M6[t] + 782.48771753359M7[t] -6645.70370737072M8[t] -15236.7700945788M9[t] -10308.5541016025M10[t] -1107.26843820283M11[t] -68.7912791567189t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)21386.034524039210753.8160641.98870.0524520.026226
x4570.58345935852098.7417182.17780.0343690.017184
y10.9374141893226830.1429286.558600
y20.1340085298535770.1948820.68760.4949890.247494
y30.1268570114649270.1985560.63890.5259270.262963
y4-0.2598034804194870.198715-1.30740.1972980.098649
y50.002463728561143730.1491280.01650.9868870.493444
M1-3682.137349385262465.403429-1.49350.1418450.070923
M2-8617.318546727142763.500072-3.11830.0030720.001536
M3-7066.40472647242705.339604-2.6120.0119790.00599
M4-9287.799087242932398.918476-3.87170.0003260.000163
M5-5147.026719905412443.087351-2.10680.0403890.020195
M617983.34453468422229.7909858.06500
M7782.487717533593408.613340.22960.8194080.409704
M8-6645.703707370724500.77405-1.47660.1463220.073161
M9-15236.77009457884515.96289-3.3740.0014740.000737
M10-10308.55410160254463.807728-2.30940.0252710.012636
M11-1107.268438202832654.333191-0.41720.6784250.339212
t-68.791279156718936.037059-1.90890.0622630.031132


Multiple Linear Regression - Regression Statistics
Multiple R0.986093368796538
R-squared0.972380131984505
Adjusted R-squared0.962022681478694
F-TEST (value)93.8821895831396
F-TEST (DF numerator)18
F-TEST (DF denominator)48
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3381.62366621292
Sum Squared Residuals548898173.754784


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1267366267561.66414859-195.664148589884
2264777266038.361251580-1261.36125158039
3258863264427.699636706-5564.69963670626
4254844255057.219632103-213.219632102641
5254868254264.31776012603.682239880169
6277267276732.098444375534.901555624953
7285351281483.0678403013867.93215969854
8286602285598.4227682861003.57723171426
9283042282019.9283992851022.07160071451
10276687278916.036322215-2229.03632221504
11277915279727.825008706-1812.82500870615
12277128280309.114251889-3181.11425188940
13277103276106.809337874996.19066212559
14275037272771.9974481152265.00255188492
15270150271879.539923842-1729.53992384200
16267140264935.6688904942204.33110950609
17264993265273.603130365-280.603130365346
18287259285835.9313487671423.06865123332
19291186290033.7612194161152.23878058413
20292300289699.4441935142600.55580648610
21288186285985.0978975592200.90210244081
22281477281845.379702544-368.37970254389
23282656283313.379022110-657.379022110357
24280190283756.368523286-3566.36852328586
25280408278072.2649827162335.73501728379
26276836274824.6339522222011.36604777802
27275216272351.8600199642864.13998003634
28274352268735.6198718845616.38012811592
29271311271264.73532381146.2646761886604
30289802292082.902146032-2280.90214603200
31290726292041.936627159-1315.93662715915
32292300287723.7831545034576.21684549669
33278506283796.886025194-5290.88602519388
34269826271242.246361088-1416.24636108839
35265861270394.643246172-4533.64324617248
36269034264396.5592962884637.44070371187
37264176265575.190327744-1399.19032774368
38255198258160.590272551-2962.59027255119
39253353251986.8477172121366.15228278776
40246057245313.607828147743.392171853363
41235372242429.989723120-7057.98972311957
42258556256584.0685195311971.93148046879
43260993259147.2191576991845.78084230060
44254663257577.082035586-2914.0820355856
45250643249009.0491165641633.95088343566
46243422243511.336502552-89.3365025524604
47247105243957.0218542913147.9781457088
48248541248620.91483001-79.9148300099232
49245039246822.446502492-1783.44650249211
50237080241061.436900374-3981.43690037385
51237085233820.9019032443264.09809675594
52225554229660.572305417-4106.57230541694
53226839222827.6151675614011.38483243935
54247934247608.302226826325.69777317352
55248333253372.494842279-5039.49484227919
56246969252235.267848111-5266.26784811145
57245098244664.038561397433.961438602899
58246263242160.00111164102.99888839978
59255765251909.130868723855.86913128019
60264319262129.0430985272189.95690147333
61268347268300.62470058446.3752994162896
62273046269116.9801751573929.01982484249
63273963274163.150799032-200.150799031771
64267430271674.311471956-4244.31147195579
65271993269315.7388950232677.26110497673
66292710294684.697314469-1974.69731446858
67295881296391.520313145-510.520313144927


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
220.03550838950274520.07101677900549030.964491610497255
230.008718877521055660.01743775504211130.991281122478944
240.002398350739516090.004796701479032180.997601649260484
250.0007746473172055660.001549294634411130.999225352682794
260.0001953909257153570.0003907818514307140.999804609074285
270.000425127276705250.00085025455341050.999574872723295
280.001622836190662680.003245672381325360.998377163809337
290.0005665615453073810.001133123090614760.999433438454693
300.0002812158386770750.000562431677354150.999718784161323
310.0001016996016543050.0002033992033086100.999898300398346
320.0001283460681494850.000256692136298970.99987165393185
330.05411254283962830.1082250856792570.945887457160372
340.03498890207464270.06997780414928540.965011097925357
350.05187883211082020.1037576642216400.94812116788918
360.07586821115667940.1517364223133590.92413178884332
370.04669201851220890.09338403702441780.953307981487791
380.04140704049185260.08281408098370510.958592959508147
390.07224404525163290.1444880905032660.927755954748367
400.1218666858177950.2437333716355910.878133314182205
410.2776732463870210.5553464927740410.72232675361298
420.2990255013179780.5980510026359560.700974498682022
430.5193715983755630.9612568032488730.480628401624437
440.4617664958123190.9235329916246390.538233504187681
450.701052087868460.597895824263080.29894791213154


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.375NOK
5% type I error level100.416666666666667NOK
10% type I error level140.583333333333333NOK