Dependent variable = VP 11. - 22., 0 missing obs., 12 obs. used. Mean of dependent variable 49.247246128 Coef est SE T statistic Mean 142 GI ( 0) 0.817618974 0.104839723 7.79875 2.417107 146 PI ( 0) -0.396970978 0.370687412 -1.07090 -0.583919 148 ZI ( 0) 0.736252380 0.244043833 3.01689 -0.333333 5 DPER ( 0) 4.998517266 1.249594467 4.00011 0.166667 64 DUR ( 0) -2.246363860 0.908101281 -2.47369 0.270833 4 I ( 0) -3.120359626 2.211786159 -1.41079 0.166667 140 WAR ( 0) 4.712153275 2.348762716 2.00623 0.250000 3 CNST ( 0) 46.401917667 0.590723981 78.55093 1.000000 SE of equation = 1.514288084 Sum of squared residuals = 9.17227361 0.284217094E-13 Average absolute error = 0.655729668 Sum of ABS residuals = 7.86875601 R squared = 0.98668 Durbin-Watson statistic = 1.34744 SMPL and No. Obs. = 11. 22. 12 Dependent variable = VP 11. - 36., 0 missing obs., 26 obs. used. Mean of dependent variable 49.499529343 Coef est SE T statistic Mean 142 GI ( 0) 0.672613087 0.129055774 5.21180 0.859489 146 PI ( 0) -0.720984362 0.328845504 -2.19247 -0.642142 148 ZI ( 0) 0.791701391 0.262790884 3.01267 0.153846 5 DPER ( 0) 2.249239122 1.551659776 1.44957 0.076923 64 DUR ( 0) -3.764387151 1.380030599 -2.72776 0.076923 4 I ( 0) 0.214947769 2.346011721 0.09162 0.076923 140 WAR ( 0) 3.252032700 2.758832477 1.17877 0.115385 3 CNST ( 0) 48.061432428 0.657209690 73.12952 1.000000 SE of equation = 2.953263223 Sum of squared residuals = 156.991746 -0.120792265E-12 Average absolute error = 1.939480939 Sum of ABS residuals = 50.4265044 R squared = 0.86177 Durbin-Watson statistic = 1.71095 SMPL and No. Obs. = 11. 36. 26