Multiple Linear Regression - Estimated Regression Equation
InIEU[t] = -1948.67388499954 + 1.09340563842981UitIEU[t] + 680.954666143251M1[t] -339.002306844012M2[t] -549.314325483949M3[t] -182.982105215105M4[t] + 1117.86368062190M5[t] + 0.843927411887669M6[t] + 219.578218092053M7[t] + 95.2438411644369M8[t] -86.0400876151622M9[t] -73.2518239774703M10[t] -252.678919640362M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1948.67388499954579.424605-3.36310.001540.00077
UitIEU1.093405638429810.03994327.374100
M1680.954666143251263.5042632.58420.0129270.006463
M2-339.002306844012263.947151-1.28440.2053120.102656
M3-549.314325483949266.737276-2.05940.0450210.022511
M4-182.982105215105261.29276-0.70030.4871950.243598
M51117.86368062190259.3503394.31028.3e-054.1e-05
M60.843927411887669258.2363030.00330.9974060.498703
M7219.578218092053258.2428170.85030.3994810.199741
M895.2438411644369267.107920.35660.7230060.361503
M9-86.0400876151622259.217869-0.33190.7414240.370712
M10-73.2518239774703258.904229-0.28290.7784730.389236
M11-252.678919640362268.173097-0.94220.3508960.175448


Multiple Linear Regression - Regression Statistics
Multiple R0.975955859594136
R-squared0.952489839876129
Adjusted R-squared0.94035958622748
F-TEST (value)78.5218403064713
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation408.111714102607
Sum Squared Residuals7828093.0458251


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110414.910457.7441665374-42.8441665374268
212476.812953.1956616658-476.39566166579
312384.612787.6039336376-403.003933637635
412266.712965.4330218412-698.733021841177
512919.913354.9252080469-435.025208046931
611497.311730.4558980416-233.155898041644
71214212413.1222011076-271.122201107582
813919.414447.3892355681-527.989235568103
912656.813023.7778204045-366.97782040455
1012034.112206.1245016548-172.024501654797
1113199.713160.887074735238.8129252648492
1210881.310971.5538415064-90.2538415063668
1311301.211408.3510285882-107.151028588239
1413643.913529.7484548098114.151545190165
151251712389.7136218130127.286378186975
1613981.113978.47334584642.62665415359883
1714275.714346.4254409751-70.7254409750882
181343512843.2148162717591.785183728333
1913565.713123.7265255231441.973474476884
2016216.315827.1578107027389.142189297312
211297012464.5008363477505.4991636523
2214079.914096.9508721915-17.0508721914754
231423514731.6736149034-496.673614903423
2412213.412434.5305857255-221.130585725459
251258112532.372024894148.6279751059106
2614130.414147.9600027781-17.5600027780517
2714210.814397.7530767894-186.953076789381
2814378.514737.4061994805-358.906199480536
2913142.813499.2547523197-356.454752319668
3013714.714143.6021420562-428.902142056244
3113621.913775.3962860273-153.496286027286
3215379.815862.1467911324-482.346791132442
3313306.313702.0173379226-395.717337922564
3414391.214532.8917002334-141.691700233442
3514909.915249.5105252638-339.610525263785
3614025.413743.1184537983282.28154620174
3712951.213198.2560586978-247.056058697846
3814344.314334.38566413039.91433586966418
3916093.416151.1383585754-57.7383585754312
4015413.615447.7918427684-34.1918427683873
4114705.713764.1869385112941.513061488788
4215972.815986.6466861935-13.8466861935425
4316241.416376.7176404157-135.317640415656
4416626.416274.1420356928352.257964307206
4517136.217166.8011249790-30.6011249789598
4615622.915614.26987664058.63012335947014
4718003.918009.4850377883-5.58503778832015
4816136.115986.0214399093150.078560090663
4914423.714075.2767212824348.423278717601
5016789.416419.510216616369.889783384012
5116782.216261.7910091845520.408990815472
5214133.813044.59559006351089.20440993650
531260712686.3076601471-79.3076601471001
5412004.511920.380457436984.119542563097
5512175.412057.4373469264117.962653073639
561326812999.0641269040268.935873096028
5712299.312011.5028803462287.797119653773
5811800.611478.4630492798322.136950720244
5913873.313070.2437473093803.05625269068
6012269.612390.5756790606-120.975679060578


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.5152610064594630.9694779870810740.484738993540537
170.3414343286549860.6828686573099720.658565671345014
180.290028420992540.580056841985080.70997157900746
190.2377381496495790.4754762992991590.762261850350421
200.1624282557920960.3248565115841920.837571744207904
210.4582959370022990.9165918740045980.541704062997701
220.426429315397650.85285863079530.57357068460235
230.5688206272379880.8623587455240240.431179372762012
240.5147668107299630.9704663785400740.485233189270037
250.4145588234340490.8291176468680970.585441176565952
260.3252336994543980.6504673989087960.674766300545602
270.2859616012213510.5719232024427010.71403839877865
280.2937941558877720.5875883117755430.706205844112228
290.2922729502161420.5845459004322840.707727049783858
300.3581175337591150.716235067518230.641882466240885
310.2892487885412970.5784975770825930.710751211458703
320.3292376124186030.6584752248372060.670762387581397
330.3454798428374390.6909596856748780.654520157162561
340.2704947572365430.5409895144730860.729505242763457
350.3086586658940370.6173173317880740.691341334105963
360.2615489148551780.5230978297103550.738451085144822
370.2589659087632300.5179318175264600.74103409123677
380.2206510407614850.4413020815229690.779348959238515
390.203023728280060.406047456560120.79697627171994
400.3750048938364610.7500097876729220.624995106163539
410.9102679588660240.1794640822679510.0897320411339757
420.8399449319467260.3201101361065480.160055068053274
430.7200070276393950.5599859447212110.279992972360605
440.6362231418530160.7275537162939680.363776858146984


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