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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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no correlation between

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "no correlation between" is correct and usable in written English.
It can be used when discussing the lack of a relationship or connection between two variables or factors in a study or analysis. Example: "The research findings indicated that there was no correlation between exercise frequency and weight loss among the participants."

✓ Grammatically correct

News & Media

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

There is no correlation between the two.

News & Media

The New York Times

There's no correlation between the two".

News & Media

The New York Times

There actually is almost no correlation between perfectionism and procrastination.

News & Media

The New York Times

"There's really no correlation between the two," Nugent said.

There is no correlation between information and behavior change.

"There's no correlation between runs scored and stolen bases".

There is no correlation between happiness and amounts of money".

In health care, there's really no correlation between the two.

No correlation between PTEN status and RAD51 expression.

Science & Research

Nature

There is no correlation between vaccines and autism," she said.

News & Media

The Guardian

There's no correlation between belt size and skill.

Show more...

Expert writing Tips

Best practice

When using "no correlation between", clearly define the two variables or factors you are discussing to avoid ambiguity. For example, "There is no correlation between study time and test scores in this particular group."

Common error

Avoid implying causation when stating "no correlation between". Just because two variables don't move together doesn't mean one couldn't influence the other through indirect mechanisms or other factors.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

88%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "no correlation between" functions as a statement of statistical independence. Ludwig AI confirms its validity as a means of asserting that two or more variables exhibit no predictable relationship. Examples show its application in diverse fields, from economics to health science.

Expression frequency: Very common

Frequent in

News & Media

37%

Science

32%

Academia

8%

Less common in

Formal & Business

4%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "no correlation between" is a standard way to indicate that two variables or factors do not have a statistical relationship. Ludwig AI confirms that it's grammatically correct and very commonly used in varied contexts, including news, science, and academia. When using this phrase, ensure you clearly define the variables involved to avoid ambiguity. While the phrase is often used in neutral to formal registers, it's essential not to assume causation simply because there's no correlation.

FAQs

How can I rephrase "no correlation between"?

You can use phrases like "no association between", "not related to", or "independent of" depending on the context.

Is it correct to say "there is no correlation between X and Y"?

Yes, the phrase "no correlation between" is grammatically correct and widely used to indicate the absence of a statistical relationship between two variables.

What does "no correlation between" imply in research?

In research, "no correlation between" suggests that changes in one variable do not predictably correspond with changes in another variable, meaning they are statistically unrelated.

What is the difference between "no correlation between" and "negative correlation"?

"No correlation between" means there is no discernible relationship, while "negative correlation" implies that as one variable increases, the other decreases. They are distinct statistical relationships.

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Source & Trust

88%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: