Multiple Linear Regression - Estimated Regression Equation
In_IEU[t] = -1635.22504557635 + 1.03943856780702Uit_IEU[t] + 740.557383587982M1[t] -145.111303853829M2[t] -351.020823840440M3[t] -32.611497252725M4[t] + 1167.19484531337M5[t] + 83.2395019644493M6[t] + 290.322167129069M7[t] + 235.841552106109M8[t] -17.9343189263537M9[t] -22.0519148000427M10[t] -142.433773462613M11[t] + 11.9322542827837t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1635.22504557635504.143869-3.24360.0022010.001101
Uit_IEU1.039438567807020.0367128.314600
M1740.557383587982227.1683413.25990.0021010.00105
M2-145.111303853829231.786449-0.62610.5343730.267186
M3-351.020823840440234.349808-1.49780.1410040.070502
M4-32.611497252725227.675438-0.14320.8867290.443364
M51167.19484531337223.4583125.22334e-062e-06
M683.2395019644493223.0601050.37320.7107360.355368
M7290.322167129069222.8368661.30280.1991120.099556
M8235.841552106109232.2676131.01540.3152320.157616
M9-17.9343189263537223.626566-0.08020.9364280.468214
M10-22.0519148000427223.09909-0.09880.9216920.460846
M11-142.433773462613232.23903-0.61330.5426940.271347
t11.93225428278372.8533474.18180.0001286.4e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.982637569441814
R-squared0.965576592878516
Adjusted R-squared0.95584823869201
F-TEST (value)99.253848530496
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation351.141979660972
Sum Squared Residuals5671831.73449042


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110414.910263.9959057434150.904094256648
212476.812732.1584119406-255.358411940591
312384.612580.6941836601-196.094183660072
412266.712731.8365554406-465.136555440641
512919.913077.2031060224-157.303106022370
611497.311522.776577637-25.4765776370010
71214212182.8252814049-40.8252814049234
813919.414192.3365412294-272.936541229355
912656.812769.4828237373-112.682823737346
1012034.111987.84388989746.2561101029888
1113199.712957.6039119034242.096088096559
1210881.310790.487842308790.8121576913492
1311301.211310.8708479881-9.67084798810856
1413643.913423.4414201386220.458579861361
151251712345.6295402285171.370459771496
1613981.113838.0634399072143.036560092754
1714275.714162.9530507032112.746949296823
181343512723.8002594876711.199740512395
1913565.713001.5434580161564.156541983896
2016216.315647.1911213384569.108878661566
211297012380.9970476975589.002952302539
2214079.913928.5320565991151.367943400912
231423514594.0484098084-359.048409808405
2412213.412324.4436974278-111.043697427842
251258112522.600747087158.3992529128742
2614130.414154.3270377701-23.9270377701293
2714210.814397.7455213995-186.945521399493
2814378.514702.7248012155-324.224801215501
2913142.813500.7830997597-357.983099759706
3013714.714103.1915995739-388.491599573892
3113621.913764.2358958225-142.335895822491
3215379.815823.6402069017-443.840206901663
3313306.313700.6206701348-394.320670134846
3414391.214486.1432649771-94.9432649771486
3514909.915229.5135669152-319.613566915213
3614025.413711.6308267727313.769173227319
3712951.213298.805886275-347.605886275002
3814344.314474.7383649746-130.438364974631
3916093.416207.7762601282-114.376260128228
4015413.615521.2350901131-107.635090113123
4114705.713895.8261161328809.87388386725
4215972.815998.4563008628-25.6563008628048
4316241.416380.3512438856-138.951243885565
4416626.416358.4877106447267.912289355252
4517136.217137.5806551951-1.38065519512051
4615622.915657.3350599317-34.4350599316925
4718003.917996.45145116717.44854883291681
4816136.115987.0182123086149.081787691385
4914423.714275.7266129064147.973387093588
5016789.416600.134765176189.265234823990
5116782.216456.1544945837326.045505416298
5214133.813379.8401133235753.959886676512
531260713014.334627382-407.334627381998
5412004.512276.0752624387-271.575262438697
5512175.412417.4441208709-242.044120870916
561326813388.2444198858-120.244419885800
5712299.312379.9188032352-80.6188032352273
5811800.611868.8457285951-68.2457285950599
5913873.313444.1826602059429.117339794142
6012269.612712.2194211822-442.619421182211


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1956573847819050.391314769563810.804342615218095
180.1940636529004670.3881273058009340.805936347099533
190.1388209032473690.2776418064947390.86117909675263
200.1341193726133470.2682387452266950.865880627386653
210.1599714937697240.3199429875394470.840028506230276
220.1435903846386280.2871807692772560.856409615361372
230.383084694378130.766169388756260.61691530562187
240.3412486700572700.6824973401145410.65875132994273
250.3303000729131530.6606001458263060.669699927086847
260.3284623861836320.6569247723672650.671537613816368
270.2777005626328040.5554011252656080.722299437367196
280.2806984985165660.5613969970331330.719301501483434
290.3850201678312370.7700403356624740.614979832168763
300.4455916695618470.8911833391236940.554408330438153
310.4083334098935420.8166668197870840.591666590106458
320.4325668866413470.8651337732826940.567433113358653
330.4077031479539620.8154062959079230.592296852046039
340.3114666024067750.622933204813550.688533397593225
350.2815292089256040.5630584178512080.718470791074396
360.2886039947793720.5772079895587450.711396005220628
370.2382245072499450.4764490144998890.761775492750055
380.1767883644933320.3535767289866640.823211635506668
390.2420913499414850.484182699882970.757908650058515
400.978536145761330.04292770847733880.0214638542386694
410.963739591506140.07252081698771830.0362604084938592
420.9111594940117740.1776810119764530.0888405059882265
430.7992613005260340.4014773989479320.200738699473966


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0370370370370370OK
10% type I error level20.0740740740740741OK