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a good correlation

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a good correlation" is correct and usable in written English.
It can be used when discussing the relationship or connection between two variables or sets of data, indicating that they have a strong or positive relationship. Example: "The study found a good correlation between exercise frequency and overall health outcomes."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

A good correlation is found.

There was a good correlation between QSAR and docking results.

A good correlation was found between simulation and experiment.

Despite the limitations, the results show a good correlation.

It observes a good correlation with the calculations.

The model shows a good correlation to the observed results.

A good correlation was observed between the two approaches.

"There is a good correlation between functional testosterone and muscle mass".

Comparisons showed a good correlation between simulation and experimental results.

A good correlation between tested and predicted values is obtained.

A good correlation between theoretical and experimental results is obtained.

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Expert writing Tips

Best practice

When using "a good correlation", specify the variables or datasets that are correlated to provide context and clarity. For example, "a good correlation between test scores and study hours".

Common error

Avoid assuming causation based solely on "a good correlation". Correlation does not equal causation, and further analysis may be needed to determine the underlying relationship between variables.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a good correlation" functions as a noun phrase, typically used as a subject complement or object in a sentence. It describes the relationship between two or more variables, indicating that they tend to change together in a predictable way. Ludwig's AI confirms the phrase's grammatical correctness.

Expression frequency: Very common

Frequent in

Science

75%

News & Media

15%

Formal & Business

5%

Less common in

Encyclopedias

1%

Wiki

1%

Reference

1%

Ludwig's WRAP-UP

In summary, "a good correlation" is a grammatically sound and frequently used phrase to describe a notable relationship between variables. As Ludwig AI confirms, it's particularly common in scientific and technical contexts, where it serves to present findings and support conclusions. While "a good correlation" is acceptable, consider using stronger alternatives like "strong correlation" or "significant correlation" for greater precision. Remember that correlation does not equal causation and that further analysis may be needed to determine underlying relationships. When using this phrase, specify the correlated variables for context and avoid oversimplifying the implications of the relationship.

FAQs

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

You can use "a good correlation" to describe a strong relationship between two variables, for example, "The study found a good correlation between exercise and reduced risk of heart disease".

What are some alternatives to saying "a good correlation"?

Alternatives include "strong correlation", "significant correlation", or "high degree of correlation", depending on the specific nuance you want to convey.

Is it correct to say "a good correlation" or should I use another adjective?

Saying "a good correlation" is perfectly acceptable. However, adjectives like "strong" or "significant" might provide a more precise description of the relationship.

What does "a good correlation" imply about causation?

"A good correlation" indicates a relationship between variables, but it does not necessarily imply causation. Further investigation is needed to determine if one variable causes the other.

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Most frequent sentences: