MULTIPLE REGRESSION Meaning and
Definition
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Multiple regression is a statistical analysis technique used in the field of research, economics, and social sciences to explore relationships between multiple predictor variables and a single outcome variable. It is an extension of simple linear regression and involves determining the impact of two or more independent variables on a dependent variable.
At its core, multiple regression seeks to uncover the relationship between a dependent variable and multiple independent variables while controlling for the effect of other variables. It allows researchers to investigate the simultaneous influences of various predictors on the outcome variable, enabling a more comprehensive understanding of complex relationships.
A typical multiple regression model consists of a dependent variable, which represents the outcome of interest or the variable to be predicted, and multiple independent variables, which are the predictors or factors thought to influence the dependent variable. The model estimates the coefficients or weights associated with each independent variable, indicating the strength and direction of their influence on the dependent variable.
By employing multiple regression analysis, researchers can obtain insights into how changes in one independent variable impact the dependent variable while keeping other variables constant. This statistical method provides a framework to assess the effects of multiple predictors, allowing for more sophisticated and nuanced analyses compared to simple linear regression. The results of multiple regression can aid in prediction, hypothesis testing, and theory development, contributing to the advancement of knowledge in various fields.
Common Misspellings for MULTIPLE REGRESSION
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- multuple regression
Etymology of MULTIPLE REGRESSION
The word "multiple" in the term "multiple regression" refers to the idea that there are multiple independent variables used to predict or explain variations in a dependent variable.
The term "regression" in "multiple regression" has its roots in statistics and was coined by Sir Francis Galton in the late 19th century. Galton used the term to describe a phenomenon he observed, where the characteristics of offspring tended to average towards the mean (or regression towards the mean) of the parents' characteristics.
In the early 20th century, the concept of regression analysis evolved, and the term "regression" became associated with the statistical method used to estimate relationships between variables. The term "multiple regression" was likely coined in this context when multiple independent variables were incorporated into the regression analysis.
Similar spelling words for MULTIPLE REGRESSION
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