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 = 450  E'PZ*E = .654896E-32

                          Standard
 Parameter  Estimate        Error       t-statistic   P-value
 A_M_A1     .230004       .211773       1.08609       [.277]
 A_M_A2     .657973       .104507       6.29599       [.000]
 A_M_A3     .158803       .032877       4.83027       [.000]
 A_M_A4     .400721       .225775       1.77487       [.076]
 A_M_A5     .658810       .153815       4.28313       [.000]
 A_M_A6     .817752       .120002       6.81447       [.000]
 A_F_A1     .380973       .260198       1.46417       [.143]
 A_F_A2     .643713       .157478       4.08763       [.000]
 A_F_A3     .375852       .192029       1.95727       [.050]
 A_F_A4     .440771       .145656       3.02612       [.002]
 A_F_A5     .643850       .130830       4.92129       [.000]
 A_F_A6     .353065       .141944       2.48736       [.013]
 L          8.56780       4.19648       2.04166       [.041]

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

 Dependent variable: CON1
        Mean of dep. var. = 10.4913  Std. error of regression = 9.86966
   Std. dev. of dep. var. = 11.2115                 R-squared = .269650
 Sum of squared residuals = 42568.3        Adjusted R-squared = .249595
    Variance of residuals = 97.4103             Durbin-Watson = 1.83814 [<.166]