Age Groups, interaction with sex category, i.e.:
 MODEL: 
CON1= A_M_A1*WIN1*(SEX=M)*(AGE_GROUP=1)+ ... +A_M_A6*WIN1*(SEX=M)*(AGE_GROUP=6)+
     A_F_A1*WIN1*(SEX=F)*(AGE_GROUP=1) + ... + A_F_A6*WIN1*(SEX=F)*(AGE_GROUP=6)

 Number of observations = 456  E'PZ*E = .238725E-32

                          Standard
 Parameter  Estimate        Error       t-statistic   P-value
 A_M_A1     .340713       .179428       1.89889       [.058]
 A_M_A2     .765398       .075731       10.1068       [.000]
 A_M_A3     .163157       .035781       4.55993       [.000]
 A_M_A4     .421349       .229065       1.83943       [.066]
 A_M_A5     .718339       .150320       4.77873       [.000]
 A_M_A6     .893927       .070877       12.6124       [.000]
 A_F_A1     .616479       .209922       2.93670       [.003]
 A_F_A2     .768480       .109655       7.00818       [.000]
 A_F_A3     .413013       .189127       2.18378       [.029]
 A_F_A4     .472373       .141641       3.33500       [.001]
 A_F_A5     .699671       .117164       5.97172       [.000]
 A_F_A6     .295134       .125063       2.35989       [.018]

 Standard Errors computed from   heteroscedastic-consistent matrix 
 (Robust-White)

 Dependent variable: CON1
        Mean of dep. var. = 10.5024  Std. error of regression = 9.91139
   Std. dev. of dep. var. = 11.2242                 R-squared = .290512
 Sum of squared residuals = 43616.6        Adjusted R-squared = .272935
    Variance of residuals = 98.2357             Durbin-Watson = 1.79883 [<.071]