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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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weak negative association

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "weak negative association" is correct and usable in written English.
It can be used in contexts such as research, statistics, or psychology to describe a relationship between two variables that is not strong and is inversely related. Example: "The study found a weak negative association between exercise frequency and levels of stress among participants."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

38 human-written examples

As shown in Table  2, vitamin D levels were not associated with any parameters, but a weak negative association was found with triglycerides (R = −0.18, p = 0.04).

Vitamin D level was not associated with age, sex, UAER, and blood pressure, but a weak negative association was found with HbA1c.

A weak negative association was present between the use of migraine-specific medication and PP (rs = −0.06, p < 0.001).

The analysis also showed a weak negative association between their adaptive capacity and age (r = − 0.026; p ≥ 0.05).

The results indicated that total diversity had a negative relationship with transect heterogeneity and total species number had a weak negative association with increasing fragmentation.

Endorsement of rape-supportive attitudes showed a weak negative association with self-reported reliance on sexual interest, r(245) = −0.196, p < 0.01, and a weak positive association with self-reported reliance on provocativeness-of-dress and attractiveness, rs(245,246) = 0.217 and 0.228, p values <0.01.

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Human-verified similar examples from authoritative sources

Similar Expressions

22 human-written examples

Consistently we found weak negative associations of GLP-1 with kidney function in our population.

Both weak negative associations as well as some positive associations between PFASs and ADHD that we observed in multiple PFAS models should be further explored.

Moreover, there are some weak negative associations between sensory acuity in either hearing or vision and cognitive processing again, as has been observed many times with such measures.

As shown in Figure  1, the weak negative associations were determined largely by the large leverage effect of a number of countries with GHEs but low migration rates.

There were also weak negative associations between university teaching experience and ratings of nervous (r = −0.224, p = 0.000) and uncertain (r = −0.193, p = 0.000).

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Expert writing Tips

Best practice

When using "weak negative association", quantify the association with a correlation coefficient (r) or a p-value whenever possible to provide a more precise understanding of the strength and statistical significance of the relationship.

Common error

Avoid interpreting a "weak negative association" as a strong indicator of causality. It merely suggests a slight inverse relationship, and further investigation is often needed to determine the underlying factors.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "weak negative association" functions as a descriptor in statistical and research contexts. It qualifies the nature of the relationship between two variables, indicating that it is inverse (negative) but not strong (weak). This usage aligns with the examples Ludwig AI provided, showing its primary role is to characterize the strength and direction of a relationship.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "weak negative association" is a common and correct term used to describe a slight inverse relationship between two variables, as confirmed by Ludwig AI. Predominantly found in scientific and academic contexts, it's crucial to quantify this association with statistical measures like correlation coefficients or p-values for clarity. When interpreting it, avoid assuming causality and acknowledge its limited strength. Alternatives include "slight inverse correlation" or "minor inverse relationship", offering nuanced ways to express the same concept. Remember, the key is to understand the context and interpret the relationship cautiously.

FAQs

How can I use "weak negative association" in a sentence?

You can use "weak negative association" to describe a scenario where an increase in one variable is slightly correlated with a decrease in another. For example, "The study found a weak negative association between screen time and physical activity levels".

What are some alternatives to "weak negative association"?

You can use alternatives like "slight inverse correlation", "minor inverse relationship", or "negligible negative correlation" depending on the context.

What does a "weak negative association" imply about the relationship between two variables?

A "weak negative association" suggests that as one variable increases, the other tends to decrease slightly, but this relationship is not strong or reliable. It doesn't imply causation and may be influenced by other factors.

Is there a difference between "weak negative association" and "weak negative correlation"?

While the terms are often used interchangeably, "association" is a broader term that includes any statistical relationship, whereas "correlation" specifically refers to a linear relationship. In most contexts, they convey a similar meaning, but correlation implies a more specific type of relationship.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: