Multiple Linear Regression - Estimated Regression Equation
5[t] = -128263.368737775 + 15.5975953485900`1`[t] -1747.05931782307`2`[t] + 4992.99917296018`3`[t] + 3.72194258279855`4`[t] -3998.48313872466t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-128263.368737775370139.085568-0.34650.7305980.365299
`1`15.59759534859006.7207862.32080.0249950.012497
`2`-1747.05931782307775.971398-2.25140.0294010.014701
`3`4992.999172960181567.3689953.18560.0026560.001328
`4`3.721942582798551.3725112.71180.0095110.004755
t-3998.483138724668852.84823-0.45170.6537320.326866


Multiple Linear Regression - Regression Statistics
Multiple R0.839819542959623
R-squared0.705296864736911
Adjusted R-squared0.671807872093378
F-TEST (value)21.0605577851895
F-TEST (DF numerator)5
F-TEST (DF denominator)44
p-value1.08826281319807e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation637021.159167832
Sum Squared Residuals17855022118011.3


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162821545337213.02698188944940.973018117
243210232309774.413173952011248.58682605
341119123052467.306111311059444.69388869
42231932190387.93975230-1967194.93975230
514913482221962.43816803-730614.438168033
616296161664157.70121067-34541.7012106652
713988931436717.14880635-37824.1488063537
819265172134951.53862300-208434.538622995
9983660997559.003060841-13899.0030608413
101443586717245.94226669726340.05773331
1110730891462907.41046439-389818.410464391
12984885617213.801988892367671.198011108
1314052251639068.40926536-233843.409265357
142271321133786.90312661-906654.903126608
159291181069413.36057326-140295.360573265
161071292510415.060613959560876.939386041
176388301306272.73365619-667442.733656194
18856956984107.896640445-127151.896640445
199924261258281.41240670-265855.412406696
204444771258357.67519822-813880.675198225
21857217453403.686809274403813.313190726
22711969616857.00828539895111.9917146019
23702380939864.089780948-237484.089780948
243585891394044.33398823-1035455.33398823
25297978613057.19262673-315079.192626729
26585715419989.946397259165725.053602741
276579541160077.34737211-502123.34737211
28209458107904.559188801101553.440811199
29786690114269.043310585672420.956689415
30439798225540.434303684214257.565696316
31688779205640.507748383483138.492251617
32574339524089.54362877550249.4563712249
33741409269699.505111312471709.494888688
34597793310492.070655495287300.929344505
35644190910695.487116985-266505.487116985
363779341180845.54583455-802911.545834555
37640273425047.171328002215225.828671998
38697458479584.105749342217873.894250658
39550608742872.051742991-192264.051742991
40207393473049.117637746-265656.117637746
41301607-160154.326905311461761.326905311
42345783449779.405952064-103996.405952064
43501749169081.651449792332667.348550208
44379983496288.646787364-116305.646787364
45387475107805.678417072279669.321582928
46377305205358.411888497171946.588111503
47370837409362.855874288-38525.8558742880
48430866487914.854674141-57048.854674141
49469107348874.981297508120232.018702492
50194493138864.96985893555628.0301410649


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9999999418498281.16300343650822e-075.81501718254112e-08
100.9999999997593124.81376774772452e-102.40688387386226e-10
110.9999999997833184.33363051684853e-102.16681525842426e-10
120.9999999991092251.78155057318665e-098.90775286593323e-10
130.9999999999674666.50680475653807e-113.25340237826904e-11
140.9999999999978634.27309858434303e-122.13654929217152e-12
150.9999999999939561.208793417559e-116.043967087795e-12
160.9999999999980223.95617749773151e-121.97808874886576e-12
170.9999999999975584.88382585441317e-122.44191292720658e-12
180.999999999995419.17854322261322e-124.58927161130661e-12
190.99999999999588.39856344119715e-124.19928172059858e-12
200.9999999999851042.97921754652948e-111.48960877326474e-11
210.9999999999900611.98772073725138e-119.93860368625689e-12
220.9999999999638567.22884199347525e-113.61442099673762e-11
230.9999999998091543.81692339878665e-101.90846169939333e-10
240.9999999994847531.03049478044610e-095.15247390223048e-10
250.9999999997651544.69692417676992e-102.34846208838496e-10
260.9999999991737831.65243385297641e-098.26216926488205e-10
270.9999999974324075.135185375793e-092.5675926878965e-09
280.9999999998369963.26007828943009e-101.63003914471505e-10
290.999999999552728.9456158136654e-104.4728079068327e-10
300.999999998409713.18057881035701e-091.59028940517850e-09
310.9999999906538621.86922767250441e-089.34613836252207e-09
320.999999945726221.08547560325012e-075.42737801625059e-08
330.9999997751695484.49660904262627e-072.24830452131313e-07
340.999998641656432.71668713925774e-061.35834356962887e-06
350.9999941809926531.16380146948068e-055.81900734740341e-06
360.9999745877999965.08244000087935e-052.54122000043967e-05
370.9999028310925870.0001943378148257669.71689074128828e-05
380.999878300661880.0002433986762399980.000121699338119999
390.9994444848742470.001111030251507020.000555515125753508
400.9989861450040810.002027709991837680.00101385499591884
410.994927594736840.01014481052631950.00507240526315976


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level320.96969696969697NOK
5% type I error level331NOK
10% type I error level331NOK