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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a strength of correlation

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a strength of correlation" is correct and usable in written English.
It can be used when discussing the degree or intensity of a relationship between two variables in statistical or analytical contexts. Example: "The study revealed a strength of correlation between exercise frequency and overall health outcomes."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Tight end fantasy points have a strength of correlation of 0.62 from year to year, meaning around 62 percent of their performance is repeatable and 38 percent regresses toward the mean.

News & Media

The New York Times

These sample sizes gave us 80% power to detect a strength of correlation between two variables (Pearson product moment correlation coefficient) of 0.27 (UK sample), 0.34 (NL sample) 0.21 (combined sample) respectively for the recording of foot inspections and 0.33 (UK sample), 0.40 (NL sample) 0.27 (combined sample) respectively for the prescription of statins, assuming a type 1 error rate of 5%.

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

According to the guidelines by Cohen et al. [ 37], a correlation coefficient between 0.10 and 0.29 corresponds to a small strength of correlation, 0.30 to 0.40 denotes a medium correlation and 0.50 to 1.0 signifies a high correlation between the variables.

Science

BMC Cancer

For example, in Figure 1, the correlation structure of the 53 clinical traits in the asthma dataset collected as a part of the Severe Asthma Research Program (SARP) (Moore et al., 2007) is represented as a network, with each trait as a node, the interaction between two traits as an edge and the thickness of an edge representing the strength of correlation.

Running backs check in at third in our consistency rankings with a year-to-year strength of correlation of about 0.48.

News & Media

The New York Times

A score indicating the strength of correlation between the expression of the given gene and survival (column B) is calculated for each gene.

Although we observe a reduction in the strength of correlation between the GC* ∼ RRmax and GC* ∼ RRmax|LDT models, the amplitude of this reduction varies among species (table 2).

Kirkley et al. found a moderate and comparable strength of correlation between the original English WORC and other shoulder and upper extremity questionnaires, ASES (r = 0.68), DASH (r = 0.63), Constant (r = 0.63) and UCLA (r = 0.48) [ 3].

In the second step, given a joint random variable of two features f i and f j (or f ij ), joint symmetrical uncertainty SU i,j ; c is used to measure the strength of correlation between a feature-pair and a class variable.

It is a measure of statistical dependence between two variables which allows easily identifying the strength of correlation within a dataset of two variables.

Overall, the evidence suggests that serum Hb measurement is a significant prognostic marker, but the strength of correlation is poor.

Science

BMC Cancer
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Expert writing Tips

Best practice

When reporting statistical findings, specify the type of correlation (e.g., Pearson, Spearman) and its corresponding coefficient value to provide a clear understanding of the "strength of correlation".

Common error

Avoid assuming that a strong correlation implies causation. Just because two variables exhibit a high "strength of correlation" doesn't necessarily mean one causes the other; there could be other underlying factors influencing both.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

79%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a strength of correlation" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes a characteristic of the relationship between variables. Ludwig AI confirms its usability.

Expression frequency: Rare

Frequent in

Science

75%

News & Media

25%

Formal & Business

0%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "a strength of correlation" is a noun phrase used to describe the degree to which two or more variables are related. Ludwig AI confirms its grammatical correctness and usability. It's most commonly found in scientific and statistical contexts, with a formal register. While it indicates the degree of association between variables, it's crucial to avoid inferring causation solely based on a strong correlation. Remember to specify the type of correlation and its coefficient value for clarity when reporting statistical findings.

FAQs

How is "a strength of correlation" typically measured?

The "strength of correlation" is commonly measured using correlation coefficients such as Pearson's r, Spearman's rho, or Kendall's tau. These coefficients provide a numerical value indicating the degree and direction of the linear relationship between two variables.

What does a high "strength of correlation" indicate?

A high "strength of correlation" suggests a strong relationship between two variables. However, it does not imply causation. It simply means that the variables tend to move together in a predictable way.

Is there a difference between "degree of correlation" and "a strength of correlation"?

The phrases "degree of correlation" and "a strength of correlation" are often used interchangeably. Both refer to the extent to which two variables are related, but "strength" might emphasize the intensity of the relationship, while "degree" focuses on the level or extent.

How to interpret different values of "a strength of correlation"?

Generally, a correlation coefficient close to +1 indicates a strong positive correlation, a value close to -1 indicates a strong negative correlation, and a value close to 0 indicates a weak or no correlation. The interpretation also depends on the specific field of study and the context of the data.

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Source & Trust

79%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

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