About: Binary regression

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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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rdfs:label	Binary regression (en)
rdfs:comment	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. (en)
dct:subject	Regression analysis
Wikipage page ID	60567021 (xsd:integer)
Wikipage revision ID	1079630602 (xsd:integer)
Link from a Wikipage to another Wikipage	Probability distribution Probit model Regression analysis Correlation Errors and residuals Generalized linear model Statistics Statistical parameter Linear probability model Linear regression Logistic regression Exponential family Normal distribution Fractional model Item response theory Regression analysis Count data Latent variable model Binary choice Binary classification Binary variable Binomial regression Bioassay Discounted cash flow Explanatory variable Probit regression Log-odds Logit model
Link from a Wikipage to an external page	https://archive.org/details/introductiontoca00agre https://archive.org/details/introductiontoca00agre/page/n88 https://books.google.com/books%3Fid=kbrIEvo_zawC&pg=PA131
sameAs	Binary regression Binary regression
dbp:wikiPageUsesTemplate	dbt:Sectionlink dbt:Regression_bar dbt:Cite_book dbt:Math dbt:Refbegin dbt:Refend dbt:Reflist dbt:Statistics-stub
has abstract	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. Binary regression is usually analyzed as a special case of binomial regression, with a single outcome, and one of the two alternatives considered as "success" and coded as 1: the value is the count of successes in 1 trial, either 0 or 1. The most common binary regression models are the logit model (logistic regression) and the probit model (probit regression). (en)
prov:wasDerivedFrom	wikipedia-en:Binary_regression?oldid=1079630602&ns=0
page length (characters) of wiki page	4462 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Binary_regression
is rdfs:seeAlso of	Generalized linear model
is Link from a Wikipage to another Wikipage of	Probabilistic classification Probit model Binary response model with latent variable Dummy variable (statistics) Cross entropy Miriam Gasko Donoho Claudia Czado Half-normal distribution Linear probability model Logistic regression Discrete choice Binary data Binomial regression Heteroskedasticity and nonnormality in the binary response model with latent variable Binary response model Binary response models
is Wikipage redirect of	Binary response model with latent variable Heteroskedasticity and nonnormality in the binary response model with latent variable Binary response model Binary response models
is foaf:primaryTopic of	wikipedia-en:Binary_regression

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