Hi, I have to solve a problem which is little bit confusing for me, is there anybody here who can help me? I have to correlate two binary data sets . the problem is , We have 100 independent variables which have only two situations: On or Off. We have 1000 dependent variables which also have only two situations: On or Off. In the first experiment we see dependent variables based on our given independent setup. In a second experiment we change the independent variables to another setup and different dependent variables go on. Which model can be used to predict the outcome of the dependent variable based on a third given independent variable configuration and the results from the two previous experiments. ... View more