multiple correlation Sentence Examples
- The multiple correlation coefficient quantifies the overall strength of the linear relationship between a dependent variable and multiple independent variables.
- The squared multiple correlation indicates the proportion of variance in the dependent variable that is explained by the combined independent variables.
- A high multiple correlation value suggests a strong relationship between the dependent variable and the set of independent variables.
- The multiple correlation coefficient is influenced by the number of independent variables included in the analysis.
- Stepwise regression can be used to identify the most important independent variables that contribute to the multiple correlation.
- The multiple correlation coefficient can be used to compare the predictive power of different models.
- A low multiple correlation value does not necessarily indicate a lack of relationship between the variables, but it may suggest that other factors are influencing the dependent variable.
- The multiple correlation coefficient is a useful measure for evaluating the overall fit of a regression model, particularly when there are multiple independent variables.
- In multiple regression analysis, the multiple correlation coefficient is a measure of how well the model predicts the dependent variable based on the independent variables.
- Multiple correlation is useful for comparing the effectiveness of different models in predicting an outcome using a set of predictor variables.
multiple correlation Meaning
multiple correlation (n)
a statistical technique that predicts values of one variable on the basis of two or more other variables
Synonyms & Antonyms of multiple correlation
No Synonyms and anytonyms found
FAQs About the word multiple correlation
a statistical technique that predicts values of one variable on the basis of two or more other variables
No synonyms found.
No antonyms found.
The multiple correlation coefficient quantifies the overall strength of the linear relationship between a dependent variable and multiple independent variables.
The squared multiple correlation indicates the proportion of variance in the dependent variable that is explained by the combined independent variables.
A high multiple correlation value suggests a strong relationship between the dependent variable and the set of independent variables.
The multiple correlation coefficient is influenced by the number of independent variables included in the analysis.
