Linear Regression
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 method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
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 technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
The process of making predictions about future trends based on current and historical data.
The process of predicting future customer demand using historical data and other information.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
The systematic computational analysis of data or statistics to understand and improve business performance.