Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 8911.90701176469 + 0.397503514887048Y1[t] -0.130306574914554Y2[t] + 0.156160419736908Y3[t] -0.00795077215187155Y4[t] + 291.642374490895M1[t] -531.234917189707M2[t] -2825.79570833536M3[t] -3626.86564899572M4[t] + 713.966769798309M5[t] -1985.5007314796M6[t] -2292.53578267656M7[t] -4193.07741914983M8[t] -3505.0043476672M9[t] -2698.69964404757M10[t] -221.276602119008M11[t] + 30.1446737173865t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8911.907011764692560.6047713.48040.0012480.000624
Y10.3975035148870480.1583522.51030.0163230.008161
Y2-0.1303065749145540.172165-0.75690.4536750.226837
Y30.1561604197369080.1712350.9120.3673890.183694
Y4-0.007950772151871550.16044-0.04960.9607290.480365
M1291.6423744908951051.3971650.27740.7829490.391475
M2-531.2349171897071151.1532-0.46150.6470180.323509
M3-2825.795708335361271.435054-2.22250.0321160.016058
M4-3626.865648995721393.118013-2.60340.0129880.006494
M5713.9667697983091409.3963060.50660.6153040.307652
M6-1985.50073147961214.253364-1.63520.1100620.055031
M7-2292.535782676561229.464631-1.86470.0697670.034884
M8-4193.077419149831262.335963-3.32170.0019510.000976
M9-3505.00434766721431.977322-2.44770.0189830.009492
M10-2698.699644047571293.213648-2.08680.043490.021745
M11-221.2766021190081165.530832-0.18990.8504110.425205
t30.144673717386519.0434771.58290.1215120.060756


Multiple Linear Regression - Regression Statistics
Multiple R0.856201301737816
R-squared0.73308066909753
Adjusted R-squared0.62357530257344
F-TEST (value)6.69447253926373
F-TEST (DF numerator)16
F-TEST (DF denominator)39
p-value6.4654506637396e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1476.02799666902
Sum Squared Residuals84967687.2310801


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11199314088.9051767802-2095.90517678015
21450413397.08553394251106.91446605746
31172712158.2567660383-431.256766038315
4114779954.663468417731522.33653158227
51357814980.2369039323-1402.23690393232
61155512725.0237303954-1170.02373039539
71184611353.2488177354492.751182264642
81139710192.2163137691204.78368623105
91006610361.4186660657-295.418666065704
101026910788.8256114314-519.825611431373
111427913478.0948886526800.905111347399
121387015092.7734025048-1222.77340250477
131369514771.7351906576-1076.73519065762
141442014587.3241231274-167.324123127394
151142412538.1494966009-1114.14949660089
16970410457.7552245994-753.755224599414
171246414650.032459385-2186.03245938495
181430112828.32571442381472.67428557617
191346412677.2277384471786.772261552878
20989310679.4252421878-786.425242187821
211157210352.14709884721219.8529011528
221238012176.0178169367203.982183063327
231669214234.98957074042457.01042925956
241605216385.7438423314-333.743842331428
251645916004.0749626849454.925037315129
261476116123.4619892328-1362.46198923283
271365412996.8237293856657.176270614353
281348012075.76842067771404.23157932227
291806816253.43292305011814.56707694986
301656015271.16039229161288.83960770835
311453013778.6177403923751.38225960767
321065012015.6383974942-1365.63839749424
331165111184.096796413466.90320358699
341373512619.02081515951115.97918484047
351336015234.7866132297-1874.78661322972
361781815252.75074496742565.24925503255
372061317712.95301994282900.04698005716
381623117375.206448554-1144.206448554
391386213703.8677427486158.132257251397
401200412963.2838912254-959.283891225394
411773416197.87836159761536.12163840235
421503415713.2565397439-679.256539743918
431260913345.1393171655-736.139317165528
441232011772.1958228285547.804177171498
451083312224.3374386741-1391.33743867408
461135012150.1357564724-800.135756472419
471364815031.1289273772-1383.12892737724
481489015898.7320101964-1008.73201019635
491632516507.3316499345-182.331649934516
501804516477.92190514321567.07809485677
511561614885.9022652265730.097734773452
521192613139.5289950797-1213.52899507973
531685516617.4193520349237.580647965059
541508315995.2336231452-912.233623145216
551252013814.7663862597-1294.76638625966
561235511955.5242237205399.475776279516


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.6515083109382540.6969833781234920.348491689061746
210.5539677888050340.8920644223899320.446032211194966
220.4651645315085540.9303290630171080.534835468491446
230.5885339160853170.8229321678293660.411466083914683
240.5661288519133820.8677422961732360.433871148086618
250.5795666994614330.8408666010771350.420433300538567
260.7622743863922010.4754512272155970.237725613607799
270.718468478406040.563063043187920.28153152159396
280.6247125256089940.7505749487820120.375287474391006
290.6527417153927940.6945165692144130.347258284607206
300.5455905737273020.9088188525453970.454409426272698
310.4226880887877680.8453761775755370.577311911212232
320.4685272129173420.9370544258346840.531472787082658
330.3891532174572320.7783064349144640.610846782542768
340.2630888120665610.5261776241331230.736911187933439
350.3496345891259810.6992691782519620.650365410874019
360.5545166055549320.8909667888901360.445483394445068


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