Multiple Linear Regression - Estimated Regression Equation
Inschr[t] = + 14166.525 -4070.2Oliecrisis[t] + 21384.475M1[t] + 17473.35M2[t] + 21284.125M3[t] + 18381.25M4[t] + 13493M5[t] + 14002M6[t] + 9418.875M7[t] + 6506.125M8[t] + 7919.125M9[t] + 11742M10[t] + 6663.25M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14166.5251245.26540911.376300
Oliecrisis-4070.21182.286517-3.44270.0009050.000452
M121384.4751754.85931912.185900
M217473.351754.8593199.957100
M321284.1251748.6253412.171900
M418381.251748.6253410.511800
M5134931748.625347.716300
M6140021748.625348.007400
M79418.8751748.625345.38641e-060
M86506.1251748.625343.72070.000360.00018
M97919.1251748.625344.52882e-051e-05
M10117421748.625346.71500
M116663.251748.625343.81060.0002650.000133


Multiple Linear Regression - Regression Statistics
Multiple R0.894616415750474
R-squared0.800338531330225
Adjusted R-squared0.77147181296833
F-TEST (value)27.7253036280942
F-TEST (DF numerator)12
F-TEST (DF denominator)83
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3497.25068097819
Sum Squared Residuals1015153273.025


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13640935550.9999999999858.000000000051
23316331639.8751523.125
33412235450.65-1328.64999999999
43522532547.7752677.22500000001
52824927659.525589.475000000004
63037428168.5252205.47500000001
72631123585.42725.6
82206920672.651396.35
92365122085.651565.35000000000
102862825908.5252719.475
112318720829.7752357.225
121472714166.525560.475000000003
1343080355517529
143251931639.875879.124999999999
153965735450.654206.35
163361432547.7751066.225
172867127659.5251011.475
183424328168.5256074.475
192733623585.43750.6
202291620672.652243.35
212453722085.652451.35
222612825908.525219.475
232260220829.7751772.225
241574414166.5251577.475
2541086355515534.99999999999
263969031639.8758050.125
274312935450.657678.35
283786332547.7755315.225
293595327659.5258293.475
302913328168.525964.475
312469323585.41107.6
322220520672.651532.35
332172522085.65-360.649999999999
342719225908.5251283.475
352179020829.775960.225
361325314166.525-913.525
3737702355512150.99999999999
383036431639.875-1275.875
393260935450.65-2841.65
403021232547.775-2335.775
412996527659.5252305.475
422835228168.525183.475
432581423585.42228.6
442241420672.651741.35
452050622085.65-1579.65
462880625908.5252897.475
472222820829.7751398.225
481397114166.525-195.525000000000
4936845355511293.99999999999
503533831639.8753698.125
513502235450.65-428.650000000003
523477732547.7752229.22500000000
532688727659.525-772.525000000001
542397028168.525-4198.525
552278023585.4-805.400000000001
561735120672.65-3321.65
572138222085.65-703.649999999999
582456125908.525-1347.525
591740920829.775-3420.775
601151414166.525-2652.525
613151435551-4037.00000000001
622707131639.875-4568.875
632946235450.65-5988.65
642610532547.775-6442.775
652239727659.525-5262.525
662384328168.525-4325.525
672170523585.4-1880.4
681808920672.65-2583.65
692076422085.65-1321.65
702531625908.525-592.525
711770420829.775-3125.775
721554814166.5251381.475
732802935551-7522.00000000001
742938331639.875-2256.875
753643835450.65987.349999999998
763203432547.775-513.775000000001
772267927659.525-4980.525
782431928168.525-3849.525
791800423585.4-5581.4
801753720672.65-3135.65
812036622085.65-1719.65
822278225908.525-3126.525
831916920829.775-1660.775
841380714166.525-359.525000000001
852974335551-5808.00000000001
862559131639.875-6048.875
872909631380.45-2284.45
882648228477.575-1995.575
892240523589.325-1184.32500000000
902704424098.3252945.675
911797019515.2-1545.2
921873016602.452127.55
931968418015.451668.55
941978521838.325-2053.32500000000
951847916759.5751719.425
961069810096.325601.674999999998