no relationship

USAGE SUMMARY

"no relationship" is a correct and usable part of a sentence in written English.
You might use it to indicate that two things do not have any sort of connection, such as: "We found no relationship between the two variables."

✓ Grammatically correct

News & Media

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

There's no relationship.

The New York Times

No relationship whatsoever".

The Economist

There was no relationship".

The New York Times - Arts

We still have no relationship".

The Guardian

No relationship could be found.

The New York Times

No relationship, no trust.

Harvard Business Review

There's basically no relationship.

The Washington Post

I have no relationship.

The Guardian

No relationship is conflict-free.

Columbia University

Which is now no relationship.

The Guardian - Lifestyle

I had no relationship with the dog.

The New York Times

Expert writing Tips

Best practice

When using "no relationship", ensure that the context clearly specifies what is being compared. For instance, "There is no relationship between X and Y."

Common error

Avoid using "no relationship" without specifying the scope or context. Saying "There is no relationship" without further explanation can be vague and confusing.

Linguistic Context

The phrase "no relationship" functions as a negative declarative statement. Ludwig examples show its usage in negating connections, correlations, or dependencies between entities or concepts, indicating an absence of association.

Expression frequency: Very common

Frequent in

News & Media

37%

Science

34%

Academia

8%

Less common in

Wiki

5%

Formal & Business

1%

Reference

0%

Ludwig's WRAP-UP

In summary, "no relationship" is a common and grammatically sound phrase used to indicate the absence of a connection or correlation between two or more things. Ludwig AI confirms its correct usage. It is most frequently found in News & Media, Science, and Academic contexts. While simple, it's crucial to use it with specificity, clearly stating what lacks a relationship to avoid vagueness. Alternatives like "lack of association" or "absence of correlation" can offer subtle differences in meaning. As the provided examples demonstrate, this phrase serves to clarify understanding and refute assumptions about connections.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

no connection exists

Directly states that there is no link or bond.

no link exists

Similar to "no connection exists", but uses 'link'.

not related

A more concise way to express the lack of a relationship.

not associated

States that there is no connection or link between items.

lack of association

Focuses on the absence of a link or connection.

no correlation found

Specifically indicates that statistical analysis revealed no relationship.

absence of correlation

Highlights the statistical independence between variables.

independent of

Highlights that one thing does not influence another.

unconnected

Emphasizes the state of being separate or detached.

bears no relevance

Indicates that something is not pertinent or applicable.

FAQs

How can I use "no relationship" in a sentence?

You can use "no relationship" to indicate a lack of connection between two or more things. For example, "There is "no relationship" between the amount of rainfall and the yield of the crop."

What phrases are similar to "no relationship"?

Similar phrases include "lack of association", "absence of correlation", or "no connection exists".

Is it better to say "no relationship" or "not related"?

Both "no relationship" and "not related" are correct. "No relationship" is slightly more formal, while "not related" is more concise and informal. Choose the phrase that best suits the context of your writing.

What does it mean when there's "no relationship" between two variables in research?

It means that changes in one variable do not correspond to changes in the other. This implies that the variables are independent of each other, meaning one variable cannot predict the value of the other.