correlation coefficient

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correlation coefficient

A researcher calculates the correlation coefficient for two sets of data.

Definition
  1. Noun:
    • A statistical measure: The correlation coefficient is a numerical value that quantifies the strength and direction of a linear relationship between two variables.
    • A standardized metric: It is a statistic that represents how closely two variables co-vary, standardized to always fall within a specific range.
Usage and Examples
  • Noun:
    • The researcher calculated the correlation coefficient to assess the link between study hours and exam scores.
    • A correlation coefficient of 0.85 indicates a strong positive relationship.
    • When the correlation coefficient is near zero, it suggests no linear association between the variables.
Advanced Usage and Interpretation
  • Range and Meaning: The correlation coefficient can vary from -1 to +1.

    • A perfect positive correlation coefficient of +1 means that as one variable increases, the other increases in a perfectly predictable linear fashion.
    • A perfect negative correlation coefficient of -1 means that as one variable increases, the other decreases in a perfectly predictable linear fashion.
    • A correlation coefficient of 0 implies no linear correlation; the variables do not vary together in a linear way.
  • Common Types: While often referring to Pearson's product-moment correlation coefficient, other types exist for different data characteristics.

    • Spearman's rank correlation coefficient is used when data are ordinal or not normally distributed.
Variants and Related Terms
  • Correlation (n): The general concept of a mutual relationship or connection between two or more things. The correlation coefficient is the specific measure of this relationship.
  • Covariance (n): A related but unstandardized measure of how two variables change together. The correlation coefficient is derived from covariance.
  • R-squared (n): The coefficient of determination, which is the square of the correlation coefficient in simple linear regression, representing the proportion of variance explained.
Synonyms
  • Association measure: A general term for statistics that quantify the relationship between variables.
  • Pearson's r: A common synonym specifically for the Pearson correlation coefficient.
Key Concepts and Phrases
  • "To calculate the correlation coefficient": To compute this specific statistic.
    • The first step in their analysis was to calculate the correlation coefficient.
  • "Strength of the correlation coefficient": Refers to how close the absolute value is to 1 (weak, moderate, strong).
    • The strength of the correlation coefficient was surprising.
  • "Sign of the correlation coefficient": Refers to whether it is positive or negative, indicating the direction of the relationship.
    • The sign of the correlation coefficient was negative, indicating an inverse relationship.
correlation coefficient

A researcher calculates the correlation coefficient for two sets of data.

Noun
  1. 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)
    • what is the correlation between those two variables?