title: logit with statsmodels with both binary and continuous independent variables
body: <p>I am trying to run a logit in Python (using statsmodels) having both binary and continuous independent variables. Without transforming the variables, I cannot obtain any result, but even log-transforming them I get very huge standard deviations (notwithstanding the absence of outliers) and many nan's. What could be the problem? Is there any other way I can transform my variables in order to get more significant results?</p>