Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 952333.91111111 + 52432.972222222X[t] -87550.5749999999Crisis[t] -49993.2215277782M1[t] -12855.8663888886M2[t] + 191658.48875M3[t] + 358720.64388889M4[t] + 449322.199027778M5[t] + 460509.154166666M6[t] + 710123.109305555M7[t] + 601637.864444445M8[t] + 558155.334583333M9[t] + 395377.889722222M10[t] + 116431.644861111M11[t] + 4355.64486111111t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)952333.9111111120235.11225547.063400
X52432.97222222218171.6672412.88540.0059820.002991
Crisis-87550.574999999921113.569379-4.14660.0001477.4e-05
M1-49993.221527778222746.362239-2.19790.0331460.016573
M2-12855.866388888622634.487496-0.5680.5728740.286437
M3191658.4887522534.8822928.50500
M4358720.6438888922447.70995415.980300
M5449322.19902777822373.11581120.083100
M6460509.15416666622311.22602320.640200
M7710123.10930555522262.14654431.898200
M8601637.86444444522225.9622427.069100
M9558155.33458333321865.54517425.526700
M10395377.88972222221832.48495418.109600
M11116431.64486111121812.624775.33783e-061e-06
t4355.64486111111537.5251668.103100


Multiple Linear Regression - Regression Statistics
Multiple R0.993887953915085
R-squared0.987813264937514
Adjusted R-squared0.984021836251407
F-TEST (value)260.53853223119
F-TEST (DF numerator)14
F-TEST (DF denominator)45
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34478.3144177152
Sum Squared Residuals53493937428.9072


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1921365906696.33444444514668.6655555549
2987921948189.33444444439731.6655555558
311326141157059.33444444-24445.3344444442
413322241328477.134444443746.86555555624
514181331423434.33444444-5301.3344444448
614115491438976.93444444-27427.9344444444
716959201692946.534444452973.46555555489
816361731588816.9344444447356.0655555555
915396531549690.04944444-10037.049444444
1013953141391268.249444444045.75055555558
1111275751116677.6494444510897.3505555551
1210360761004601.6494444431474.3505555556
13989236958964.07277777730271.9272222226
1410083801000457.072777787922.92722222221
1512077631209327.07277778-1564.07277777785
1613688391380744.87277778-11905.8727777779
1714697981475702.07277778-5904.07277777768
1814987211491244.672777787476.3272222222
1917617691745214.2727777816554.7272222225
2016532141641084.6727777812129.3272222223
2115991041601957.78777778-2853.78777777782
2214211791443535.98777778-22356.9877777778
2311639951168945.38777778-4950.3877777777
2410377351056869.38777778-19134.3877777778
2510154071011231.811111114175.18888888898
2610392101052724.81111111-13514.8111111112
2712580491261594.81111111-3545.81111111128
2814694451433012.6111111136432.3888888887
2915523461527969.8111111124376.188888889
3015491441543512.411111115631.58888888884
3117858951797482.01111111-11587.0111111109
3216623351693352.41111111-31017.4111111111
3316294401654225.52611111-24785.5261111112
3414674301495803.72611111-28373.7261111111
3512022091221213.12611111-19004.1261111110
3610769821109137.12611111-32155.1261111112
3710393671115932.52166667-76565.5216666665
3810634491157425.52166667-93976.5216666667
3913351351366295.52166667-31160.5216666667
4014916021537713.32166667-46111.3216666668
4115919721632670.52166667-40698.5216666666
4216412481648213.12166667-6965.12166666665
4318988491902182.72166667-3333.72166666657
4417985801798053.12166667526.878333333297
4517624441758926.236666673517.7633333331
4616220441600504.4366666721539.5633333333
4713689551325913.8366666743041.1633333335
4812629731213837.8366666749135.1633333333
4911956501168200.2627449.7400000001
5012695301209693.2659836.7399999999
5114792791418563.2660715.74
5216078191589981.0617837.9399999998
5317124661684938.2627527.7400000000
5417217661700480.8621285.1400000000
5519498431954450.46-4607.45999999989
5618213261850320.86-28994.8600000001
5717578021723643.434158.5999999999
5815903671565221.625145.4
5912606471290631-29983.9999999999
6011492351178555-29320


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.2199462852190540.4398925704381080.780053714780946
190.1136480877087450.2272961754174910.886351912291255
200.1225834496118310.2451668992236620.877416550388169
210.06204050122085820.1240810024417160.937959498779142
220.04015981640009950.0803196328001990.9598401835999
230.02111159475038850.04222318950077700.978888405249611
240.02731079838543560.05462159677087110.972689201614564
250.01526904654673330.03053809309346660.984730953453267
260.01015343967277740.02030687934555480.989846560327223
270.006382392107574050.01276478421514810.993617607892426
280.02000659398126600.04001318796253190.979993406018734
290.02836284150865510.05672568301731020.971637158491345
300.02215699124308210.04431398248616410.977843008756918
310.02009415075042920.04018830150085830.97990584924957
320.05180748395831020.1036149679166200.94819251604169
330.03016996619150550.0603399323830110.969830033808494
340.01720511412876870.03441022825753750.982794885871231
350.009283343145551440.01856668629110290.990716656854449
360.005689161417704140.01137832283540830.994310838582296
370.003679164384450570.007358328768901150.99632083561555
380.01854691833731420.03709383667462850.981453081662686
390.05940849285369950.1188169857073990.9405915071463
400.04909667766835690.09819335533671370.950903322331643
410.06822862381022110.1364572476204420.931771376189779
420.07357849265260520.1471569853052100.926421507347395


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.04NOK
5% type I error level120.48NOK
10% type I error level170.68NOK