Dependent Variable: Y
Method: ML/QML - Poisson Count (Quadratic hill climbing)
Date: 02/23/06 Time: 00:36
Sample: 1 15
Included observations: 15
Convergence achieved after 3 iterations
QML (Huber/White) standard errors & covariance

Variable Coefficient Std. Error z-Statistic Prob.

C 3.779338 0.044084 85.72996 0.0000
XB2 -0.356647 0.028871 -12.35317 0.0000
NL2 -0.312305 0.040670 -7.678940 0.0000
ZC2 -0.181843 0.050408 -3.607399 0.0003
ZC3 0.140714 0.041719 3.372926 0.0007
XL2 0.120202 0.028960 4.150678 0.0000
XL3 0.417431 0.039867 10.47058 0.0000

R-squared 0.959004 Mean dependent var 38.06667
Adjusted R-squared 0.928257 S.D. dependent var 10.06029
S.E. of regression 2.694647 Akaike info criterion 6.491896
Sum squared resid 58.08899 Schwarz criterion 6.822319
Log likelihood -41.68922 Hannan-Quinn criter. 6.488376
Restr. log likelihood -59.14787 Avg. log likelihood -2.779281
LR statistic (6 df) 34.91730 LR index (Pseudo-R2) 0.295170
Probability(LR stat) 4.47E-06

Estimation Command:
=====================
COUNT(D=P,H) Y C XB2 NL2 ZC2 ZC3 XL2 XL3

Estimation Equation:
=====================
Y = @EXP(C(1) + C(2)*XB2 + C(3)*NL2 + C(4)*ZC2 + C(5)*ZC3 + C(6)*XL2 + C(7)*XL3)

Substituted Coefficients:
=====================
Y = @EXP(3.779337741 - 0.356646564*XB2 - 0.3123048841*NL2 - 0.1818426421*ZC2 + 0.1407144144*ZC3 + 0.1202021966*XL2 + 0.4174308732*XL3)

xb代表性别  NL代表年龄  以此类推

我的作业已经交了，谢谢各位帮忙！