a strong correlation between

USAGE SUMMARY

The phrase "a 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 research, statistics, or analysis. Example: "The study found a strong correlation between exercise frequency and overall health outcomes."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

57 human-written examples

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

The New York Times

There is also a strong correlation between foreclosures and crime.

The New York Times

There is a strong correlation between international co-authorship and higher-than average citations.

The Guardian

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

The Guardian - Books

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

The New York Times

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

The New York Times

Surveys also show a strong correlation between support for the war and casualty predictions.

The New York Times

Numerous studies point to a strong correlation between gender equality in developing countries and economic growth.

The Guardian - Opinion

Emmott believes in a strong correlation between a positive psychological contract and happy employees.

The Guardian - Money

Disgruntled workers are more likely to leave and there's a strong correlation between dissatisfaction and high turnover".

The Guardian - Money

Studies in Africa have shown a strong correlation between the amount of H.I.V. in the blood and risk of transmission.

The New York Times - Health

Expert writing Tips

Best practice

When using the phrase "a strong correlation between", ensure that you can provide supporting evidence, such as statistical data or research findings, to substantiate the claim.

Common error

Avoid implying causation solely based on a strong correlation. Correlation does not equal causation; other factors may be involved, or the relationship may be coincidental. Investigate all possible casual links before establishing one.

Linguistic Context

The phrase "a strong correlation between" functions as a noun phrase that introduces a relationship between two or more entities or variables. As confirmed by Ludwig AI, it is used to denote a significant statistical or empirical connection. This phrase serves to highlight the degree to which these entities are related.

Expression frequency: Very common

Frequent in

Science

40%

News & Media

55%

Formal & Business

5%

Less common in

Reference

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "a strong correlation between" is a commonly used expression to indicate a notable relationship or association between two or more variables. As Ludwig AI confirms, the phrase is grammatically correct and can be used in various contexts, especially in science and news media. It's essential to remember that while correlation suggests a relationship, it does not necessarily imply causation. When employing this phrase, ensure there's supporting evidence, and be mindful of avoiding the assumption of causation. Alternatives such as "a significant relationship between" or "a notable connection between" can also be used depending on the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a robust correlation between

Uses "robust correlation" instead of "strong correlation", which implies a resistant to change correlation.

a significant association between

Replaces "strong correlation" with "significant association", implying a notable but not necessarily causal relationship.

a notable relationship between

Substitutes "strong correlation" with "notable relationship", suggesting an important or observable connection.

a marked connection between

Replaces "strong correlation" with "marked connection", emphasizing a clear and evident link.

a considerable link between

Uses "considerable link" instead of "strong correlation", indicating a substantial relationship.

a substantial interrelation between

Replaces "correlation" with "interrelation", highlighting a mutual or reciprocal relationship between the elements.

a close tie between

Replaces "strong correlation" with "close tie", suggesting a tight and intimate connection.

a positive relationship between

Changes "strong correlation" with "positive relationship", indicating that as one variable increases, the other also tends to increase.

a high degree of association between

Replaces "strong correlation" with "high degree of association", emphasizing the intensity of the relationship.

a significant dependency between

Substitutes "strong correlation" with "significant dependency", suggesting that one variable relies heavily on the other.

FAQs

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

You can use "a strong correlation between" to indicate a significant relationship between two or more variables. For example, "The study revealed "a strong correlation between" exercise and reduced risk of heart disease."

What are some alternatives to "a strong correlation between"?

Alternatives include "a significant relationship between", "a notable connection between", or "a substantial link between", depending on the context.

Is it correct to say "a strong correlation of" instead of "a strong correlation between"?

No, it's more appropriate to use "a strong correlation between" when discussing the relationship between two variables. "A strong correlation of" is grammatically incorrect in this context.

What's the difference between "correlation" and "causation" when discussing "a strong correlation between"?

"Correlation" indicates a statistical relationship between two variables, while "causation" implies that one variable directly causes a change in another. Just because there's "a strong correlation between" two variables doesn't necessarily mean one causes the other. There could be other factors at play.