Hello Today we tried to fit a logistic regression with the following questions. Dependent Measure - Drink the given brand Explanatory Measures - 9 life style groups (binary) of which each person going into the model would be allocated to one group. When we run a model, only 8 of the 9 variables appears in the model. Now I am assuming that this is because we can obtain the data from the missing variable using the other 8 BUT as it is not in the model, how do we interpret it's odds ratio had it been in the model? Many thanks Natalie ==================================================== This email is confidential and intended solely for the use of the individual or organisation to whom it is addressed. Any opinions or advice presented are solely those of the author and do not necessarily represent those of the Millward Brown Group of Companies. If you are not the intended recipient of this email, you should not copy, modify, distribute or take any action in reliance on it. If you have received this email in error please notify the sender and delete this email from your system. Although this email has been checked for viruses and other defects, no responsibility can be accepted for any loss or damage arising from its receipt or use. ====================================================