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Logistic regression - Wikipedia Example graph of a logistic regression curve fitted to data The curve shows the estimated probability of passing an exam (binary dependent variable) versus hours studying (scalar independent variable) See § Example for worked details In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more
Multivariate logistic regression - Wikipedia Multivariate logistic regression is a type of data analysis that predicts any number of [1] outcomes based on multiple [2][3] independent variables [4][5][6] It is based on the assumption that the natural logarithm of the odds has a linear relationship with independent variables
Multinomial logistic regression - Wikipedia Multinomial logistic regression is a particular solution to classification problems that use a linear combination of the observed features and some problem-specific parameters to estimate the probability of each particular value of the dependent variable
Ordered logit - Wikipedia Ordered logistic regressions have been used in multiple fields, such as transportation, [5] marketing [6] or disaster management [7] In clinical research, the effect a drug may have on a patient may be modeled with ordinal regression