Multiple Linear Regression - Estimated Regression Equation
Aardolie[t] = + 89.103846153846 + 75.4591973244149Irakoorlog[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)89.1038461538468.24913810.801600
Irakoorlog75.459197324414910.3203857.311700


Multiple Linear Regression - Regression Statistics
Multiple R0.65804011806457
R-squared0.433016796982433
Adjusted R-squared0.424917036939325
F-TEST (value)53.4604475537367
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value3.36486394303392e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation42.0625141544103
Sum Squared Residuals123847.856789298


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
190.889.1038461538461.69615384615394
296.489.10384615384677.29615384615331
39089.10384615384610.896153846153871
492.189.10384615384612.99615384615387
597.289.10384615384618.09615384615387
695.189.10384615384615.99615384615386
788.589.1038461538461-0.603846153846129
89189.10384615384611.89615384615387
990.589.10384615384611.39615384615387
107589.1038461538461-14.1038461538461
1166.389.1038461538461-22.8038461538461
126689.1038461538461-23.1038461538461
1368.489.1038461538461-20.7038461538461
1470.689.1038461538461-18.5038461538461
1583.989.1038461538461-5.20384615384612
1690.189.10384615384610.996153846153865
1790.689.10384615384611.49615384615387
1887.189.1038461538461-2.00384615384613
1990.889.10384615384611.69615384615387
2094.189.10384615384614.99615384615386
2199.889.103846153846110.6961538461539
2296.889.10384615384617.69615384615387
238789.1038461538461-2.10384615384613
2496.389.10384615384617.19615384615387
25107.189.103846153846117.9961538461539
26115.289.103846153846126.0961538461539
27106.1164.563043478261-58.4630434782609
2889.5164.563043478261-75.0630434782609
2991.3164.563043478261-73.2630434782609
3097.6164.563043478261-66.9630434782609
31100.7164.563043478261-63.8630434782609
32104.6164.563043478261-59.9630434782609
3394.7164.563043478261-69.8630434782609
34101.8164.563043478261-62.7630434782609
35102.5164.563043478261-62.0630434782609
36105.3164.563043478261-59.2630434782609
37110.3164.563043478261-54.2630434782609
38109.8164.563043478261-54.7630434782609
39117.3164.563043478261-47.2630434782609
40118.8164.563043478261-45.7630434782609
41131.3164.563043478261-33.2630434782609
42125.9164.563043478261-38.6630434782609
43133.1164.563043478261-31.4630434782609
44147164.563043478261-17.5630434782609
45145.8164.563043478261-18.7630434782609
46164.4164.563043478261-0.163043478260863
47149.8164.563043478261-14.7630434782609
48137.7164.563043478261-26.8630434782609
49151.7164.563043478261-12.8630434782609
50156.8164.563043478261-7.76304347826086
51180164.56304347826115.4369565217391
52180.4164.56304347826115.8369565217391
53170.4164.5630434782615.83695652173914
54191.6164.56304347826127.0369565217391
55199.5164.56304347826134.9369565217391
56218.2164.56304347826153.6369565217391
57217.5164.56304347826152.9369565217391
58205164.56304347826140.4369565217391
59194164.56304347826129.4369565217391
60199.3164.56304347826134.7369565217391
61219.3164.56304347826154.7369565217391
62211.1164.56304347826146.5369565217391
63215.2164.56304347826150.6369565217391
64240.2164.56304347826175.6369565217391
65242.2164.56304347826177.6369565217391
66240.7164.56304347826176.1369565217391
67255.4164.56304347826190.8369565217391
68253164.56304347826188.4369565217391
69218.2164.56304347826153.6369565217391
70203.7164.56304347826139.1369565217391
71205.6164.56304347826141.0369565217391
72215.6164.56304347826151.0369565217391