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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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close correlation

Grammar usage guide and real-world examples

USAGE SUMMARY

"close correlation" is correct and usable in written English.
You could use it to describe a relationship between two things that have a strong connection, or to emphasize the strength of a relationship between two things. For example, "There is a close correlation between levels of poverty and crime in our city."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

There is a close correlation between regeneration and generation.

Even today, there is a very close correlation between movements in the Nasdaq composite index and the dollar.

News & Media

The New York Times

Most chips relying on Arm's technology are made at TSMC - very close correlation between TSMC and Arm.

That close correlation works beautifully here, but is far less readily available in the criticism of fiction or poetry.

Brown adds that Dunn and Welling proved the close correlation between stock price and CFROI.

News & Media

The Economist

The close correlation between the two disciplines led to their combination.

There is traditionally a close correlation between ethnic identity and religious affiliation.

A close correlation exists between vascularization and bone formation.

Close correlation between the numerical and experimental results was observed.

Evaluations of recording characteristics demonstrated a close correlation between narrower SFDs and improved recording performance.

A close correlation existed between levels of VEGF production and the amount of newly formed bone.

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Expert writing Tips

Best practice

Use "close correlation" to precisely describe a strong and direct relationship between two or more variables or concepts. Ensure the context clearly indicates the nature of the relationship being described.

Common error

Avoid implying causation when describing a "close correlation". Correlation does not equal causation; ensure your writing reflects this distinction.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "close correlation" functions as a noun phrase that signifies a strong relationship between two or more things. As confirmed by Ludwig AI, the phrase is grammatically sound and commonly used. It sets the stage for discussing the nature and implications of that relationship.

Expression frequency: Very common

Frequent in

Science

60%

News & Media

25%

Encyclopedias

6%

Less common in

Formal & Business

5%

Social Media

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "close correlation" is a grammatically correct and widely used expression to denote a strong relationship between two or more entities. As Ludwig AI confirms, it's suitable for formal and analytical contexts, particularly in science, news media, and encyclopedias. While the phrase indicates a strong relationship, it's crucial to avoid implying causation without further evidence. Consider alternatives like "strong relationship" or "high degree of association" to add variety to your writing.

FAQs

How can I use "close correlation" in a sentence?

You can use "close correlation" to describe a strong relationship between two variables. For example, "There is a close correlation between study time and exam scores."

What are some alternatives to "close correlation"?

Alternatives include "strong relationship", "high degree of association", or "significant connection", depending on the context.

Is it correct to say "highly correlated" instead of "close correlation"?

Yes, "highly correlated" is a valid alternative, particularly in statistical or scientific contexts. It emphasizes the degree to which two variables move together.

What is the difference between "correlation" and "causation"?

"Correlation" indicates a relationship between two variables, while "causation" implies that one variable directly causes a change in another. A "close correlation" does not necessarily mean there is causation.

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Source & Trust

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Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: