correlation to each other

USAGE SUMMARY

The phrase "correlation to each other" is correct and usable in written English.
It can be used when discussing the relationship or connection between two or more variables or entities. Example: "The study found a significant correlation to each other between the two variables, indicating that as one increases, the other tends to increase as well."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

28 human-written examples

(c) Although absolute error between semiempirical QM/MM-derived and experimentally measured binding energies is significant, they exhibit a good linear correlation to each other.

Computational and Theoretical Chemistry

According to the results, all perspectives have acceptable correlation to each other with different amounts.

Journal of Industrial Engineering International

The original pool of 17 is narrowed down to 10 based on their long-term performance and their correlation to each other.

Forbes

As such, 3-D methodology cannot be expected to work for false positives, as reputed "active" molecules may not have any apparent 3-D correlation to each other.

Journal of Cheminformatics

In this section we familiarized the reader with the main techniques of data analysis and described their strong correlation to each other.

Journal of Big Data

Using the system dynamic (SD) model, policy instruments are integrated to determine their correlation to each other with a view to identifying the most efficient way of moving towards a 4GDH system.

International Journal of Energy and Environmental Engineering

Human-verified similar examples from authoritative sources

Similar Expressions

32 human-written examples

By choosing a variety of investments that react differently to market conditions--those described as having a low correlation to each other--an investor could reduce overall risk.

Huffington Post

Hormone and cytokine ranges showed correlations to each other and to the health status of investigated harbour porpoises.

BMC Veterinary Research

There were moderate bivariate correlations between AST, ALT, and GGT, but bilirubin and ALP showed little correlations to each other and other enzymes.

Hypertension

This is why, for the interpretation of ED models, we grouped those of the parameters that showed high correlations to each other.

eLife

However, the main focus of this paper is to compare correlations in outcome measures across and within stratifications, which means comparing binary correlations to each other, and continuous correlations to each other, so this does not pose a major problem in the interpretation of our results.

BMC Public Health

Expert writing Tips

Best practice

When using "correlation to each other", ensure that you are referring to a quantifiable statistical relationship. If you mean a general relationship, consider alternatives like "relationship with each other".

Common error

Avoid assuming that a "correlation to each other" implies a cause-and-effect relationship. Correlation only indicates a statistical association, not necessarily direct causation.

Linguistic Context

The phrase "correlation to each other" functions as a prepositional phrase specifying the relationship between two or more entities. It indicates a statistical association and is deemed correct by Ludwig.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "correlation to each other" is a grammatically sound phrase used to describe a statistical association between multiple entities. As highlighted by Ludwig, while seemingly straightforward, its application requires understanding that correlation doesn't equal causation. It is primarily used in formal and scientific contexts to express quantifiable relationships. When a more general relationship is intended, consider alternatives such as "relationship with each other".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

statistical linkage

Specifically identifies a statistical relationship, emphasizing quantification.

association among variables

Refers to a statistical link, but not necessarily a direct correlation.

covariance of elements

Emphasizes the directional relationship between variables.

relationship with each other

Focuses on the general connection or association, not specifically statistical correlation.

connection between them

Emphasizes a broader link, less specific than a quantified correlation.

shared variance

Focuses on common variation, a component that indicates possible correlation.

interrelation of factors

Highlights the mutual influence of multiple elements, not necessarily linear.

dependence between items

Stresses how one item influences another, which is a specific type of correlation.

correspondence of data

Implies a match or similarity in data sets, a form of correlation.

mutual influence

Highlights reciprocal impact, a component of correlation.

FAQs

How can I use "correlation to each other" in a sentence?

You can use "correlation to each other" to describe the statistical relationship between two or more variables. For example, "The study found a significant correlation to each other between exercise and mental well-being".

What's the difference between "correlation to each other" and "relationship with each other"?

"Correlation to each other" specifically refers to a statistical association, while "relationship with each other" is a more general term that encompasses any kind of connection or association.

What can I say instead of "correlation to each other"?

Depending on the context, you can use alternatives like "association among variables", "statistical linkage", or "interrelation of factors".

Is it correct to use "correlation to each other" in academic writing?

Yes, "correlation to each other" is appropriate for academic writing, especially in fields that involve statistical analysis, such as science, economics, and social sciences. However, ensure that the statistical context is clear.