![]() ![]() The independent variables are presumed to affect the choice or category or the choice maker, and represent a priori beliefs about the causal or associative elements important in the choice or classification process. For instance, an analyst may wish to model the choice of automobile purchase (from a set of vehicle classes), the choice of travel mode (walk, transit, rail, auto, etc.), the manner of an automobile collision (rollover, rear-end, sideswipe, etc.), or residential location choice (high-density, suburban, exurban, etc.). The dependent variable, Y, is a discrete variable that represents a choice, or category, from a set of mutually exclusive choices or categories. Logit, Nested Logit, and Probit models are used to model a relationship between a dependent variable Y and one or more independent variables X. ![]() Purpose of Logit, Nested Logit, and Probit Models: ![]()
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