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Predictor (common alternate for independent variable that softens the causal language. ) Carrier (mostly in the regression diagnostic literature) X variable (due to common notation) Covariate (strictly speaking this applies to variables that are observed not manipulated)
variables are a mix of continuous and categorical variables and/or if they are not nicely distributed (logistic regression makes no assumptions about the distributions of the predictor variables). Logistic regression has been especially popular with medical research in which the dependent variable is whether or not a patient has a disease. For a logistic regression, the predicted dependent variable is a function of the probability that a. particular subject will be in one of the categories (for example, the probability that Suzie Cue has the. disease, given her set of scores on the predictor variables).