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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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strong correlation between

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "strong correlation between" is correct and usable in written English.
It can be used when discussing the relationship or connection between two variables or factors in a statistical or analytical context. Example: "The study revealed a strong correlation between exercise frequency and overall health outcomes."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

They found a strong correlation between left-handedness and homicide.

News & Media

The New York Times

"There is a very strong correlation between branding and profitability".

News & Media

The Guardian

There is also a strong correlation between foreclosures and crime.

News & Media

The New York Times

There's no strong correlation between that ratio and anything else.

There is a strong correlation between structural domains and exons.

Science & Research

Nature

The comparison shows a strong correlation between these two quantities.

Science & Research

Nature

The researchers found a strong correlation between noise and race.

There is a strong correlation between violence and climate.

There is a strong correlation between length and sales since the shortlist announcement.

There is a strong correlation between the partisan choices of parents and children.

News & Media

The New York Times

"There's a strong correlation between poverty and negative birth outcomes," Mr. O'Hare said today.

News & Media

The New York Times
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Expert writing Tips

Best practice

When using "strong correlation between", ensure you can support the claim with data or evidence. Quantify the strength of the correlation whenever possible to provide a clearer understanding of the relationship.

Common error

Avoid assuming that a "strong correlation between" two variables implies that one causes the other. Correlation does not equal causation; there may be other underlying factors influencing both variables.

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 "strong correlation between" functions as a descriptor of a statistical relationship. It highlights the presence of a notable and predictable association between two or more variables. Ludwig AI shows numerous examples of its use in academic, scientific, and news contexts.

Expression frequency: Very common

Frequent in

Science

36%

News & Media

46%

Academia

6%

Less common in

Formal & Business

4%

Wiki

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "strong correlation between" is a phrase used to indicate a notable statistical relationship where variables predictably move together. Ludwig AI analysis confirms its correctness and frequent usage across academic, scientific, and news media. While indicating a relationship, it's important not to confuse correlation with causation. When writing, support this phrase with quantifiable data whenever possible. Using alternatives like "significant association between" can add variety. It is important to ensure accuracy when claiming a strong correlation and prevent drawing unsubstantiated conclusions.

FAQs

What does "strong correlation between" mean?

The phrase "strong correlation between" indicates a significant statistical relationship where two or more variables tend to move together predictably. It suggests that changes in one variable are likely to be associated with changes in another.

What can I say instead of "strong correlation between"?

You can use alternatives like "significant association between", "marked relationship between", or "substantial link between" depending on the context.

How is "strong correlation between" different from causation?

"Strong correlation between" simply means two variables move together. Causation implies that one variable directly influences the other. A correlation can exist without causation; other factors might be at play.

Is it correct to say "correlation equals causation"?

No, it is incorrect. Correlation does not equal causation. Just because there is a "strong correlation between" two variables doesn't mean one causes the other. There may be confounding variables or the relationship could be coincidental.

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Source & Trust

88%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: