Multiple Linear Regression - Estimated Regression Equation
olie[t] = + 131.058720667153 + 0.0777048133057692wagens[t] -0.365660000574707electric[t] -0.0686328689875479vervoers[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)131.05872066715332.0371714.09080.0001165.8e-05
wagens0.07770481330576920.0995940.78020.4379710.218985
electric-0.3656600005747070.28047-1.30370.1967180.098359
vervoers-0.06863286898754790.191959-0.35750.7217960.360898


Multiple Linear Regression - Regression Statistics
Multiple R0.189440361235054
R-squared0.0358876504648676
Adjusted R-squared-0.00664671789697646
F-TEST (value)0.843733005732395
F-TEST (DF numerator)3
F-TEST (DF denominator)68
p-value0.474688991216682
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation24.6583433727325
Sum Squared Residuals41346.3050563555


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
185.6100.903779444029-15.3037794440286
28999.9796480742283-10.9796480742283
397.594.31241660344013.18758339655989
410492.766983674238811.2330163257612
599.489.90643259372619.4935674062739
6103.284.792369937431418.4076300625686
710387.709328236057815.2906717639422
891.293.1509758040077-1.95097580400765
985.992.5505360005159-6.65053600051587
1080.794.1312074332206-13.4312074332205
1186.794.9537496770423-8.25374967704227
1280.797.5549310573292-16.8549310573292
1381.5101.351940997572-19.851940997572
1483.496.2824253609686-12.8824253609686
1583.594.364807754812-10.8648077548119
1689.589.9455558317093-0.445555831709287
1785.888.4078576683805-2.60785766838047
1877.485.1953954579683-7.7953954579683
1967.589.2631770919926-21.7631770919926
2063.792.7839193104483-29.0839193104483
2159.491.3279517112282-31.9279517112282
226293.7640569533147-31.7640569533147
2362.493.5260792769522-31.1260792769522
2458.194.9590484214792-36.8590484214792
255896.8447912606363-38.8447912606363
2656.394.9569054251006-38.6569054251006
2761.490.819721624944-29.4197216249440
2859.887.8617292734322-28.0617292734322
2954.386.314080440707-32.014080440707
304780.4140939073591-33.4140939073591
3150.593.4633076753063-42.9633076753063
3248.191.575667351629-43.475667351629
3358.890.2595155751762-31.4595155751762
3470.492.7476454583751-22.3476454583751
3571.995.170037009515-23.270037009515
3673.396.1035408124506-22.8035408124506
3783.597.5635901716008-14.0635901716008
3890.195.5943399641415-5.49433996414148
39101.393.08656384379688.2134361562032
4098.388.093131001430910.2068689985691
41106.784.762945714488221.9370542855118
42109.982.275817994026727.6241820059733
43111.195.985975276208515.1140247237915
4411995.147846145524723.8521538544753
45120.793.194575906218327.5054240937816
46104.595.52926076479828.97073923520178
47121.699.059415817913622.5405841820863
48129.698.359735849826631.2402641501734
49124.598.123573480426326.3764265195737
50130.198.043657336026932.0563426639731
51142.394.224015090514648.0759849094854
5214091.666132912576548.3338670874235
53143.386.31602067130456.9839793286961
54113.483.594104270495829.8058957295043
55113.895.064616886804618.7353831131954
56120.792.302346442759428.3976535572406
57112.990.775029439026422.1249705609737
58115.595.481713702441720.0182862975583
59121.998.606023092080323.2939769079197
60119.397.428908573440621.8710914265594
6111199.269442203713711.7305577962863
62114.298.08117289422416.1188271057760
63113.593.755763988900719.7442360110993
649491.36004515075582.63995484924417
6583.286.2730402179489-3.07304021794885
6682.884.9892884493454-2.18928844934544
6785.893.9708365960246-8.17083659602456
6888.796.1364101934678-7.43641019346775
69105.395.8905828614479.40941713855305
70113.199.631784453676713.4682155463233
71113.895.340465083123118.4595349168769
72109.494.306217372776915.0937826272231