Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...
Although quantitative researchers in political science and sociology have used stepwise regression to select independent variables and to rank them in terms of their impact on a dependent variable, ...
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