Joe - For me, it's binary logistic regression. BLR is a bit of an obscure tool, but it allows for establishing a relationship between an attribute output and either variable or attribute predictors. I find it useful when there is an unknown specification limit. For example, when I hold a customer clinic, I can ask the participants whether they are satisfied with the performance of a given feature, or if they would bring the system back for warranty. I record this as a 1 or 0--the result is binary--they are either satisfied or not (or they will or will not return the system fr warranty). I can then use the measurements taken on that part or system and determine above or below what value I can guarantee that x% of the customers will be satisfied. I have been very successful with this tool in DFSS project and also in DMAIC projects.
I absolutely love a good box plot! I'm a visual learner so that picture of the data really helps me see what is going on.
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