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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a linear relationship

Grammar usage guide and real-world examples

USAGE SUMMARY

"a linear relationship" is grammatically correct and can be used in written English.
You can use it when you want to express that two variables (or more) are increasing or decreasing at a constant rate (e.g. as one variable increases, the other increases in a proportional or equal manner). Example: The graph shows a linear relationship between temperature and humidity.

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

V(P) follows a linear relationship.

This was done by a linear relationship.

A linear relationship was confirmed between them.

Science

Carbon

It's not quite a linear relationship, but the direction is clear.

News & Media

The Guardian

It's harder to draw a linear relationship showing cause and effect.

News & Media

The New York Times

This plot gives a linear relationship, as expected from Eq. (3).

Science & Research

Nature

Importantly, a linear relationship has been reported between transgene BAC copy number and expression level20.

Science & Research

Nature

A linear relationship is observed between PHS and PHSS.

A linear relationship between CBR and curing time was identified.

Herbicide interception increased in a linear relationship with increasing litter.

A linear relationship between lnD and 1/T is confirmed.

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Expert writing Tips

Best practice

When describing scientific or statistical data, ensure that you have visually confirmed the linearity (e.g. using a scatter plot) before claiming "a linear relationship".

Common error

Avoid assuming "a linear relationship" simply because there is a correlation. Always verify the nature of the relationship with a scatter plot or statistical test, as relationships can be nonlinear or influenced by confounding 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 linear relationship" functions as a noun phrase, typically acting as the subject or object of a sentence. It describes a specific type of correlation between two or more variables. As Ludwig AI confirms, it's grammatically correct and commonly used.

Expression frequency: Very common

Frequent in

Science

74%

News & Media

12%

Academia

9%

Less common in

Formal & Business

5%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "a linear relationship" is a grammatically sound and commonly used term to describe a proportional association between variables. As Ludwig AI points out, it's suitable for various contexts, particularly in science, news, and formal writing. When using the phrase, ensure that the relationship is visually verified using appropriate methods like scatter plots and statistical tests. Alternatives such as "a direct correlation" or "a proportional association" can be used to provide variety or emphasize specific aspects of the relationship. Remember, the clarity and verification of the relationship are key to effective communication.

FAQs

How can I use "a linear relationship" in a sentence?

You can use "a linear relationship" to describe a connection where a change in one variable results in a constant change in another, for example: "The experiment revealed "a linear relationship" between the amount of fertilizer used and crop yield".

What does "a linear relationship" mean?

The phrase "a linear relationship" signifies that two variables change together at a constant rate, such that their relationship can be accurately represented by a straight line on a graph.

What are some alternatives to using "a linear relationship"?

You can use alternatives like "a direct correlation", "a proportional association", or "a straight-line correlation" depending on the context.

Is it always accurate to assume "a linear relationship" between two variables?

No, it's not always accurate. Always verify with data. Relationships can be nonlinear, influenced by other variables, or only appear linear over a specific range. Statistical tests and visualization tools can help determine if a linear model is appropriate.

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Source & Trust

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Authority and reliability

4.5/5

Expert rating

Real-world application tested

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