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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a strong correlation

Grammar usage guide and real-world examples

USAGE SUMMARY

"a strong correlation" is correct and usable in written English.
You might use it to describe the relationship between two variables that are closely related or that change together. For example, "This study found a strong correlation between caffeine consumption and fatigue levels."

✓ Grammatically correct

News & Media

Academia

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

You need a strong correlation.

There was, indeed, a strong correlation!

News & Media

The New York Times

0.6 < |R| < 1 indicate a "strong" correlation.

Again the R2 indicates a strong correlation.

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

News & Media

The New York Times

I think there's probably a strong correlation with that".

There is also a strong correlation between foreclosures and crime.

News & Media

The New York Times

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

An r-squared closer to 1 means a strong correlation.

The researchers found a strong correlation between noise and race.

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Expert writing Tips

Best practice

When using "a strong correlation", clearly define the two variables being correlated to ensure the relationship is easily understood by your audience. For example, specify "a strong correlation between exercise and improved cardiovascular health."

Common error

Avoid implying causation when only a correlation has been established. Just because two variables show "a strong correlation" doesn't mean one causes the other; there could be other factors at play.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

87%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a strong correlation" primarily functions as a noun phrase. Ludwig AI validates its correctness and usability. Examples show it describing statistical relationships, often in scientific or analytical contexts.

Expression frequency: Very common

Frequent in

Science

35%

News & Media

35%

Academia

30%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "a strong correlation" is a common and grammatically sound phrase used to describe a significant statistical relationship between variables. Ludwig AI affirms its correctness. It appears most frequently in science, news and media, and academic contexts. When using the phrase, remember to clearly define the variables and avoid implying causation. Alternatives include "a significant association" or "a close relationship". Remember that while "a strong correlation" shows a pattern, it doesn't prove one thing causes another.

FAQs

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

You can use "a strong correlation" to describe a significant statistical relationship between two variables. For example, "The study revealed "a strong correlation" between smoking and lung cancer."

What is an alternative to saying "a strong correlation"?

Alternatives include phrases like "a significant association", "a close relationship", or "a marked connection", depending on the context.

What does it mean when there is "a strong correlation" between two variables?

It means that the two variables tend to move together, either positively (as one increases, so does the other) or negatively (as one increases, the other decreases). It does not necessarily mean that one variable causes the other.

Is "a strong correlation" the same as causation?

No, correlation does not imply causation. While "a strong correlation" indicates that two variables are related, it doesn't prove that one variable causes changes in the other. There may be other confounding factors or the relationship could be coincidental.

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Authority and reliability

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Real-world application tested

Most frequent sentences: