So how can we interpret a nomogram once we have the data?  Well going back to the love triangle example, say we have two actors (trying to be optimistic here) considering the role to play Anton, two actress (again, optimistic) for Jane, and finally, John Krasinski (haven’t quite given up on him, I’m WAY too optimistic now, I know) and another actor for the role of Randy.  So then, after running the logistic regression, we can assignment points to each role based on those regression results.  So we can assign 100 points to John Krasinski over that other actor, 30 points to Anton 1 over Anton 2, and 50 points to Jane 1 over Jane 2.  So if our casting were to include John Krasinski, Anton 1, and Jane 1, we would have 100 + 30 + 50 = 180, or 180% chance to have that casting over any other combination. Or if we were to have John Krasinski, Anton 2, and Jane 1, we would have 100 + 0 + 50 = 150, or 150% chance to have that casting over any other combination.  And how do we determine the points? Well, that’s a topic for another week.  Until then, call me John, just sayin’ … if we meet in Chicago, I’ll treat you to some authentic Chicago deep-dish pizza …

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And yes, it is real pizza!  Jon Stewart doesn’t know what he’s talking about!

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