I have a study that aims to find out the association of a binary outcome (e.g. BP control-Y/N) with categorical independent variables e.g. their dietary and exercise preferences. As I have a very long list of these independent variables (50 qns on dietary and 50 qns on exercise), do I perform one regression for each question on dietary vs BP control, adjusting for their confounding factors like age, gender, medical conditions?

If so, how do I report the summarized results as there would be results from 100 regressions? I cannot possibly put the ORs into one table as I am not including all the variables in one model.

Also, take for example one of the regression results shows significance for age and the dietary preference question I included in the model, can i conclude that the dietary preference question is associated with BP control, and how do I interpret the association with age? Age might not be significant when other dietary preference questions are included.

Thanks for all the help! ]]>

Is a sample of 20 companies too small for a dividend payout study? in SPSS I get a negative Adjusted R sq

you will find attached the excel file with the dividend payout as my dependent variable .