Say I want to see if a continous variable, say strength, is associated with another continous variable, say height. Clearly I can just use linear regression with height as the response variable and strength as the predictor variable. But I can also split height into a tall category and a not tall category. And then do logistic regression with the log odds of height as the response. So what is the advantage of one way vs the other?