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In statistics, specifically regression analysis, a binary regression estimates a relationship between one or more explanatory variables and a single output binary variable. Generally the probability of the two alternatives is modeled, instead of simply outputting a single value, as in linear regression.
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Explore the main themes, entities and connections around Binary regression. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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model binary regression variables variable explanatory linear probability models single latent displaystyle one probabilistic outcome logit probit two alternatives value
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Binary regression | has application | Binary | 0.60 | section |
| Binary regression | has application | In | 0.60 | section |
| Binary regression | related to Interpretations | Binary | 0.60 | section |
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