Logistic Regression
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
A mathematical framework used to analyze strategic interactions where the outcomes depend on the actions of multiple decision-makers.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
A motivational theory suggesting that individuals are motivated to act based on the expected outcomes of their actions and the attractiveness of those outcomes.
A theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes.
A framework that combines multiple theories to explain and predict behavior, focusing on intention, knowledge, skills, environmental constraints, and habits.
A cognitive bias where people perceive past events as having been more predictable than they actually were.