multiple regression (Meaning)
multiple regression (n)
a statistical technique that predicts values of one variable on the basis of two or more other variables
Synonyms & Antonyms of multiple regression
No Synonyms and anytonyms found
multiple regression Sentence Examples
- Multiple regression analysis simultaneously examines the relationship between a dependent variable and multiple independent variables.
- The goal of multiple regression is to predict the value of the dependent variable based on the values of the independent variables.
- Multiple regression models incorporate several predictor variables to better explain the variation in the dependent variable.
- By considering multiple independent variables, multiple regression improves the explanatory power and predictive accuracy of the model.
- Multiple regression models allow researchers to investigate the combined effects of multiple factors on a single outcome variable.
- Using multiple regression, we can identify the independent variables that contribute significantly to the prediction of the dependent variable.
- Statistical software packages, such as SPSS or R, facilitate the analysis and interpretation of multiple regression models.
- Multiple regression requires careful consideration of assumptions, such as linearity, multicollinearity, and homoscedasticity.
- Advanced techniques, such as stepwise regression and penalized regression, enhance the performance of multiple regression models.
- Multiple regression is widely applied in various fields, including social sciences, economics, and business, to unravel complex relationships and make predictions.
FAQs About the word multiple regression
a statistical technique that predicts values of one variable on the basis of two or more other variables
No synonyms found.
No antonyms found.
Multiple regression analysis simultaneously examines the relationship between a dependent variable and multiple independent variables.
The goal of multiple regression is to predict the value of the dependent variable based on the values of the independent variables.
Multiple regression models incorporate several predictor variables to better explain the variation in the dependent variable.
By considering multiple independent variables, multiple regression improves the explanatory power and predictive accuracy of the model.
