Multiple Linear Regression - Estimated Regression Equation
auto[t] = + 14352.9629370629 -1191.91958041958irak[t] + 18821.6910839161M1[t] + 16615.7751748252M2[t] + 20414.8431818182M3[t] + 16856.3272727273M4[t] + 11798.2113636364M5[t] + 12184.4954545455M6[t] + 7367.97954545454M7[t] + 5485.46363636364M8[t] + 7792.34772727273M9[t] + 10433.6318181818M10[t] + 5808.11590909091M11[t] -33.6840909090909t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14352.96293706291242.16814311.554800
irak-1191.919580419581075.749168-1.1080.2736260.136813
M118821.69108391611498.36308812.561500
M216615.77517482521496.26988911.104800
M320414.84318181821504.28690513.571100
M416856.32727272731500.34624411.23500
M511798.21136363641496.8605757.88200
M612184.49545454551493.8330828.156500
M77367.979545454541491.2665584.94081.1e-055e-06
M85485.463636363641489.1633833.68360.0006040.000302
M97792.347727272731487.5255255.23854e-062e-06
M1010433.63181818181486.3545227.019600
M115808.115909090911485.6514773.90950.0003020.000151
t-33.684090909090926.390998-1.27630.2082390.10412


Multiple Linear Regression - Regression Statistics
Multiple R0.94830974746031
R-squared0.899291377128238
Adjusted R-squared0.870830244577523
F-TEST (value)31.5971746916879
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2348.65058371101
Sum Squared Residuals253743339.960839


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13684533140.96993007003704.03006993005
23533830901.36993006994436.63006993007
33502234666.7538461538355.246153846153
43477731074.55384615383702.44615384615
52688725982.7538461538904.246153846162
62397026335.3538461538-2365.35384615385
72278021485.15384615381294.84615384616
81735119568.9538461538-2217.95384615385
92138221842.1538461538-460.153846153844
102456124449.7538461538111.246153846153
111740919790.5538461538-2381.55384615385
121151413948.7538461538-2434.75384615384
133151432736.7608391608-1222.76083916084
142707130497.1608391608-3426.16083916084
152946233070.6251748252-3608.62517482517
162610529478.4251748252-3373.42517482517
172239724386.6251748252-1989.62517482518
182384324739.2251748252-896.225174825174
192170519889.02517482521815.97482517483
201808917972.8251748252116.174825174826
212076420246.0251748252517.974825174825
222531622853.62517482522462.37482517483
231770418194.4251748252-490.425174825174
241554812352.62517482523195.37482517482
252802931140.6321678322-3111.63216783216
262938328901.0321678322481.967832167833
273643832666.41608391613771.58391608392
283203429074.21608391612959.78391608392
292267923982.4160839161-1303.41608391609
302431924335.0160839161-16.0160839160838
311800419484.8160839161-1480.81608391608
321753717568.6160839161-31.6160839160839
332036619841.8160839161524.183916083916
342278222449.4160839161332.583916083916
351916917790.21608391611378.78391608392
361380711948.41608391611858.58391608392
372974330736.4230769231-993.423076923071
382559128496.8230769231-2905.82307692308
392909632262.206993007-3166.20699300699
402648228670.006993007-2188.00699300699
412240523578.206993007-1173.20699300700
422704423930.8069930073113.19300699301
431797019080.606993007-1110.60699300699
441873017164.4069930071565.59300699301
451968419437.606993007246.393006993007
461978522045.206993007-2260.20699300699
471847917386.0069930071092.99300699301
481069811544.206993007-846.206993006994
493195630332.2139860141623.78601398602
502950628092.6139860141413.38601398601
513450631857.99790209792648.0020979021
522716528265.7979020979-1100.79790209790
532673623173.99790209793562.00209790210
542369123526.5979020979164.402097902097
551815718676.3979020979-519.397902097904
561732816760.1979020979567.802097902097
571820519033.3979020979-828.397902097903
582099521640.9979020979-645.997902097904
591738216981.7979020979400.202097902097
60936711139.9979020979-1772.99790209790