correlation matrix (Meaning)
Wordnet
correlation matrix (n)
a matrix giving the correlations between all pairs of data sets
Synonyms & Antonyms of correlation matrix
No Synonyms and anytonyms found
correlation matrix Sentence Examples
- The data analyst constructed a correlation matrix to examine the relationships between various variables in the dataset.
- The correlation matrix revealed strong positive correlations between income and education level.
- By examining the correlation matrix, researchers identified multicollinearity issues among several predictor variables.
- The diagonal elements of a correlation matrix display the correlation of each variable with itself, which is always equal to 1.
- In a correlation matrix, off-diagonal elements represent the correlations between different pairs of variables.
- Researchers used a heatmap to visualize the correlation matrix and identify patterns in the data.
- The correlation matrix allowed the team to prioritize variables for inclusion in the regression analysis based on their relationships with the outcome variable.
- By analyzing the correlation matrix, the marketing team identified which customer behaviors were most strongly correlated with purchase intent.
- The correlation matrix was computed using Pearson correlation coefficients, providing insight into the linear relationships between variables.
- A high correlation coefficient in the correlation matrix suggests that changes in one variable are associated with changes in another variable.
FAQs About the word correlation matrix
a matrix giving the correlations between all pairs of data sets
No synonyms found.
No antonyms found.
The data analyst constructed a correlation matrix to examine the relationships between various variables in the dataset.
The correlation matrix revealed strong positive correlations between income and education level.
By examining the correlation matrix, researchers identified multicollinearity issues among several predictor variables.
The diagonal elements of a correlation matrix display the correlation of each variable with itself, which is always equal to 1.
