negative correlation
Học thuậtThân thiện
Definition
- Noun:
- A statistical relationship between two variables where an increase in one variable is associated with a decrease in the other: A "negative correlation" describes an inverse relationship. When the value of variable X increases, the value of variable Y tends to decrease, and vice-versa. The strength of this relationship is measured by a correlation coefficient that falls between 0 and -1.
Usage
- The term is used primarily in statistics, data analysis, and scientific research to describe and quantify an inverse relationship between two measured factors.
- It indicates that the variables move in opposite directions.
Examples
- Noun:
- There is a negative correlation between exercise frequency and body fat percentage. (As exercise increases, body fat percentage tends to decrease.)
- The study found a strong negative correlation between hours of sleep and levels of stress. (More sleep was associated with lower stress.)
- A correlation coefficient of -0.85 indicates a very strong negative correlation.
Advanced Usage
- "To show a negative correlation": To demonstrate or have this inverse statistical relationship.
- The data from the experiment showed a negative correlation between temperature and pressure.
- "To exhibit a negative correlation": To display or possess this relationship.
- These two economic indicators often exhibit a negative correlation.
Variants and Related Words
- Inverse correlation (n): A synonym for negative correlation.
- Negative relationship (n): A more general, less technical term for the same concept.
- Correlation coefficient (n): The numerical measure (between -1 and +1) that indicates the strength and direction of a correlation.
- Anticorrelation (n): A term sometimes used in physics and engineering with a similar meaning.
Synonyms
- Inverse correlation
- Inverse relationship
Antonyms
- Positive correlation: A correlation where both variables increase or decrease together.
Noun
- a correlation in which large values of one variable are associated with small values of the other; the correlation coefficient is between 0 and -1