Hi,
I have a dichotomous data where some my independent variables are categorical,
some are continuous and some are binary(0/1)
My dependent is a binary response (Fail/NoFail,0/1) .
The data is some readings collected everyday over a period of time.
The goal is to use this data and see if we can figure out cause of failure ,the
end response.
Example data format
Date, Type,Mileage,S1,S2,S3.... , Response
03/02/2013,A,32000,1,0,1,......, 1
03/03/2013,B,32400,0,0,0,.......,0
03/04/2013,C,45000,0,1,1,......,1
Can we do Time series modeling?? Any suggesstions on what type of other
exploratory analysis can be used to figure out patterns in data ??
Thanks
shi
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