no significant correlation

USAGE SUMMARY

"no significant correlation" is a correct and usable phrase in written English.
It is typically used when discussing statistical data or research findings to indicate that there is no relationship between two variables. Example: The study found no significant correlation between caffeine consumption and stress levels.

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

There was no significant correlation between the deliciousness of a sandwich and its structural integrity.

The Guardian

No significant correlation was found between total and free iodothyronines.

Journal of Equine Veterinary Science

There is no significant correlation between telomerase activity and cytotoxicity.

Bioorganic & Medicinal Chemistry

No significant correlation was obtained for the low drinkers group.

Alcohol

There was no significant correlation between rehabilitation LOS and age.

Archives of Physical Medicine and Rehabilitation

No significant correlation was found (all corrected pvalues > 0.4; Simes correction for multiple comparisons39).

Nature

No significant correlation with any BACS subtest was observed for any of the identified clusters.

Nature

No significant correlation exists between the supply pressure and changes in perceived lump size.

Stanford University

No significant correlation was observed.

Journal of Cheminformatics

No significant correlation was recorded.

Applied Water Science

However, no significant correlation was identified.

Annals of Intensive Care

Expert writing Tips

Best practice

When reporting statistical results, clearly state the variables being analyzed and the specific statistical test used to determine the significance (or lack thereof) of the correlation. For example: "Pearson's correlation revealed no significant correlation between income and happiness (r = 0.15, p > 0.05)."

Common error

Remember that "no significant correlation" does not necessarily mean there is absolutely no relationship between the variables. It simply means that the statistical test did not find sufficient evidence to support a relationship. There might still be a weak, non-linear, or otherwise complex relationship present. Further investigation or different statistical methods might be needed.

Linguistic Context

The phrase "no significant correlation" functions as a statistical declaration to indicate the absence of a statistically provable relationship between two or more variables. Ludwig AI confirms its use in scientific and general contexts.

Expression frequency: Very common

Frequent in

Science

98%

Academia

1%

News & Media

1%

Less common in

Formal & Business

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

The phrase "no significant correlation" is a standard term in statistical analysis, indicating that there's insufficient evidence to support a linear relationship between the variables being studied. Ludwig AI confirms its appropriate usage across different contexts, especially in scientific and academic fields. Remember, that "no significant correlation" does not equal "no relationship", and that the best practice is to always provide details of the test performed and the variables assessed. Alternative phrases include "no noteworthy correlation" and "correlation is not significant". While very common, always provide context when using the expression.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

no noteworthy correlation

Replaces "significant" with "noteworthy", suggesting the absence of a correlation that would be worth mentioning.

no meaningful correlation

Substitutes "significant" with "meaningful", highlighting the absence of a correlation with practical importance.

no substantial correlation

Replaces "significant" with "substantial", indicating the lack of a correlation of considerable size or importance.

no appreciable correlation

Replaces "significant" with "appreciable", conveying that the correlation is too small to be perceived or considered important.

no marked correlation

Substitutes "significant" with "marked", emphasizing that there is no noticeable or distinct correlation.

no evident correlation

Replaces "significant" with "evident", indicating that the correlation is not easily seen or obvious.

no demonstrable correlation

Substitutes "significant" with "demonstrable", conveying that the correlation cannot be proven or shown.

no statistical correlation

Adding "statistical" clarifies the specific type of correlation being assessed, implying the result of a statistical test.

absence of significant correlation

Changes the sentence structure to emphasize the absence of correlation.

correlation is not significant

Reorders the phrase to place emphasis on the correlation itself.

FAQs

What does it mean when a study finds "no significant correlation"?

It means that the study didn't find enough statistical evidence to conclude that there is a relationship between the variables being studied. It doesn't necessarily mean there's absolutely no relationship, just that the study couldn't prove one exists.

How to use "no significant correlation" in a sentence?

You can use it to report the results of a statistical analysis. For example: "The analysis showed no significant correlation between age and the test scores."

What's the difference between "no correlation" and "no significant correlation"?

"No correlation" suggests there's absolutely no relationship, while "no significant correlation" means there wasn't enough statistical evidence to prove a relationship. There might still be a weak or complex relationship.

What are some other ways to say "no significant correlation"?

You could say "no noteworthy correlation", "no meaningful correlation", or "correlation is not significant" depending on the context.