Conclusion
Anticorrelates are terms that are used in statistical analysis to describe a relationship between two variables that move in opposite directions. This means that when one variable increases, the other variable decreases. In this article, we will explore the definition and meaning of anticorrelates, their origin, and their associations.
Definitions
Anticorrelates are two variables that have a negative correlation coefficient. This means that as one variable increases, the other variable decreases. The correlation coefficient is a statistical measure that ranges from -1 to 1. A correlation coefficient of -1 indicates a perfect negative correlation, while a coefficient of 1 indicates a perfect positive correlation. A coefficient of 0 indicates no correlation.
Origin
The term anticorrelates is derived from the prefix “anti-” meaning opposite or against, and the word “correlate” which means to have a relationship or connection. The term was first used in statistical analysis to describe the relationship between two variables that move in opposite directions.
Meaning in different dictionaries
According to the Merriam-Webster dictionary, anticorrelates are two variables that have a negative correlation coefficient. The Oxford English Dictionary defines anticorrelates as two variables that are inversely related.
Associations
Anticorrelates are often associated with statistical analysis and research. They are used to describe the relationship between two variables and can help researchers understand how changes in one variable affect the other variable.
Synonyms
Some synonyms of anticorrelates include inverse correlation, negative correlation, and inverse relationship.
Antonyms
The antonyms of anticorrelates are positive correlation, direct correlation, and direct relationship.
The same root words
The root words of anticorrelates are “anti-” meaning opposite or against, and “correlate” which means to have a relationship or connection. Other words that share these root words include antithesis, antipathy, and correlation.
Example Sentences
- The study found an anticorrelation between smoking and lung capacity.
- The data showed a negative correlation between exercise and body weight.
- The researchers discovered an inverse relationship between stress and productivity.
Anticorrelates are two variables that have a negative correlation coefficient. They are used in statistical analysis to describe the relationship between two variables that move in opposite directions. Understanding the meaning and associations of anticorrelates is important for researchers and analysts who use statistical analysis in their work.