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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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good correlation with

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "good correlation with" 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 tend to change together in a meaningful way. Example: "The study found a good correlation with the increase in exercise and improved mental health among participants."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Mg exhibits a good correlation with Na.

SO4 shows good correlation with Na whereas Ca exhibits a good correlation with Mg and Na.

CBF-imaging showed a good correlation with CBF-sampling.

Nonetheless, the method has good correlation with subjective scores.

The results also showed good correlation with intuitive expectations.

It observes a good correlation with the calculations.

Endurance experiments show good correlation with the simulation.

Their oral activity showed good correlation with their metabolic stability.

Optical measurements show good correlation with traditional sensors.

The FTS selectivity showed good correlation with the strong acidity.

The predictions had a good correlation with the experimental results.

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Expert writing Tips

Best practice

When using "good correlation with", ensure that you specify the variables being correlated and provide statistical evidence (such as correlation coefficients or p-values) to support your claim.

Common error

Avoid implying causation solely based on a "good correlation with". Correlation does not equal causation, and further investigation is needed to establish a causal relationship.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "good correlation with" functions as a descriptive term, indicating a statistically significant relationship between two or more variables. Ludwig AI's analysis confirms its prevalent use in describing associations within various domains.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "good correlation with" is a grammatically sound and frequently used phrase to denote a notable statistical relationship between variables. Ludwig AI confirms its prevalent usage, particularly within scientific and academic contexts. When employing this phrase, ensure that the relationship is supported by statistical evidence and avoid implying causation based solely on correlation. Alternative expressions such as "strong relationship with" or "positive association with" can be used to add nuance, while avoiding the common error of inferring causation from correlation is essential.

FAQs

What does "good correlation with" mean?

The phrase "good correlation with" indicates a strong statistical relationship between two variables, suggesting that changes in one variable are associated with changes in the other. However, it does not necessarily imply causation.

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

You can use "good correlation with" to describe the relationship between variables in various contexts. For example: "The study found a good correlation with exercise and improved mental health".

What are some alternatives to "good correlation with"?

Alternatives include "strong relationship with", "positive association with", or "close connection with", depending on the nuance you want to convey.

Is it correct to say "good correlation to" instead of "good correlation with"?

While "correlation to" is sometimes used, "good correlation with" is the more standard and grammatically correct preposition to use when describing the relationship between two variables.

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Source & Trust

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Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: