Logistic Regression Prediction of p
X-Variables Coefficients X-values Product
Intercept -17.910000 1 -17.91 <------ Use the "trick" of
Income 0.000202 58000 11.6928  multiplying the 
Is Female 1.646000 1 1.646 intercept by 1 just
Is Married 0.566200 1 0.5662  to carry it over to 
Has College -0.279400 1 -0.2794 the product column
Is Professional 0.225300 0 0
Is Retired -1.159000 0 0
Unemployed 0.988600 0 0
Residence Length 0.024680 8 0.19744
Dual Income 0.451800 1 0.4518
Minors 1.133000 0 0
Own 1.056000 1 1.056
House -0.926500 1 -0.9265
White 1.864000 1 1.864
English 1.530000 1 1.53
Prev Child Mag 1.557000 0 0
Prev Parent Mag 0.477700 1 0.4777
0.37 <------- log(p/(1-p)) = sum of
 products in column D
p = 0.591 <------- formula is: 
=exp(F22)/(1+exp(F22))