correlation coefficient Synonyms
No Synonyms and anytonyms found
correlation coefficient Meaning
correlation coefficient (n)
a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation)
correlation coefficient Sentence Examples
- The correlation coefficient quantifies the strength and direction of the relationship between two variables.
- A correlation coefficient close to +1 indicates a strong positive correlation between variables.
- A correlation coefficient close to -1 suggests a strong negative correlation between variables.
- A correlation coefficient of 0 indicates no linear relationship between variables.
- The researcher calculated the Pearson correlation coefficient to analyze the association between income and education level.
- The scatter plot showed a clear positive correlation, supported by a correlation coefficient of 0.85.
- The correlation coefficient between hours of study and exam scores was found to be statistically significant.
- A regression analysis was conducted to determine the relationship between age and income, yielding a correlation coefficient of -0.42.
- The Spearman correlation coefficient was used to assess the relationship between ranks assigned to different products.
- The correlation coefficient provides valuable insights into the degree of association between variables in a dataset.
FAQs About the word correlation coefficient
a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positiv
No synonyms found.
No antonyms found.
The correlation coefficient quantifies the strength and direction of the relationship between two variables.
A correlation coefficient close to +1 indicates a strong positive correlation between variables.
A correlation coefficient close to -1 suggests a strong negative correlation between variables.
A correlation coefficient of 0 indicates no linear relationship between variables.
