close correlations with

USAGE SUMMARY

The phrase "close correlations with" is correct and usable in written English.
It can be used when discussing the relationship or connection between two or more variables, data sets, or phenomena that show a strong association. Example: "The study found close correlations with the increase in temperature and the decline in ice cover in the Arctic region."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

15 human-written examples

The accuracy of this model is further verified by close correlations with an existing empirical solution.

Composite Structures

Feo and dithionite-extractable iron (Fed) had close correlations with the rate of PCP reductive transformation.

Geoderma

The accuracy of the solution is verified through close correlations with existing stiffness formulations and finite element results.

International Journal of Solids and Structures

Besides, the workability and fatigue resistance of rejuvenated asphalt were found having close correlations with sulfoxide index and the LMS content.

Construction and Building Materials

The regression analysis showed close correlations with r = 0.89 to 0.99 between the methods, meaning that the regional contrast in the images was similar.

EJNMMI Physics

The relationship and Bland-Altman plot in CBF, OEF, and CMRO2 between the emission- and transmission-based methods for Group-0, Group-1, and Group-2 are shown in Figures 2, 3, and 4. The regression analysis showed close correlations, with correlation coefficients of 0.89 to 0.99.

EJNMMI Physics

Human-verified similar examples from authoritative sources

Similar Expressions

45 human-written examples

This phenomenon has a close correlation with the topology of different zeolites.

Nature

The specific cutting energy showed a close correlation with stem diameter and stem cross-sectional area.

Biosystems Engineering

The obtained results show close correlation with experimental and numerical results found in the literature.

Thin-Walled Structures

Fatigue crack propagation analyses under cyclic stress distribution revealed a close correlation with the test results.

International Journal of Fatigue

The results from suitable models show close correlation with the experimental values.

Composites Part B: Engineering

Expert writing Tips

Best practice

When using "close correlations with", ensure that the variables you are comparing are measured accurately and that your data supports the claim of a strong relationship. Visual aids like scatter plots can strengthen your argument.

Common error

Avoid assuming that because two variables show "close correlations with" each other, one directly causes the other. Further research is needed to establish causality.

Linguistic Context

The phrase "close correlations with" functions as a descriptive phrase, often used in scientific, technical, and academic writing. It indicates a statistically significant relationship between two or more variables. As confirmed by Ludwig, this is a correct and usable phrase.

Expression frequency: Uncommon

Frequent in

Science

60%

Academia

30%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "close correlations with" is a phrase used to describe a statistically significant relationship between two or more variables. It is most commonly found in scientific and academic contexts. While grammatically correct, as verified by Ludwig, it's crucial to avoid assuming causation from correlation. When writing, make sure that you have supporting evidences for your claims, accurately measure the variables you are comparing and correctly interpret statistical data. Some alternative options include "strong associations with" or "significant links to" depending on the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

strong associations with

Emphasizes a robust link or connection, focusing on the association rather than the statistical correlation.

high degree of relationship with

Highlights the extent of the connection, suggesting a notable level of interaction or interdependence.

significant links to

Indicates important connections or relationships that are noteworthy or impactful.

notable interrelation with

Focuses on the mutual relationship between elements, implying a reciprocal influence.

marked correspondence to

Stresses a clear alignment or similarity in characteristics or behavior.

substantial connections to

Highlights the quantity or importance of the relationships between items.

evident alignment with

Highlights a readily visible or obvious agreement or matching.

apparent association with

Emphasizes that the connection is easily observable or understandable.

clear interconnectedness with

Emphasizes the mutual and evident relationship between items.

strong ties to

Indicates robust relationships.

FAQs

How can I effectively use "close correlations with" in a sentence?

Use "close correlations with" to describe a strong statistical relationship between two or more variables. For example: "The study found "strong associations with" increased exercise and reduced risk of heart disease."

What are some alternatives to saying "close correlations with"?

Alternatives include "strong associations with", "significant links to", or "notable interrelation with" depending on the specific nuance you want to convey.

Is it always accurate to assume a cause-and-effect relationship when there are "close correlations with" two variables?

No, "close correlations with" do not automatically imply causation. While a strong correlation suggests a relationship, further investigation is necessary to determine if one variable directly influences the other. There may be other confounding variables involved.

When is it appropriate to use "close correlations with" in academic writing?

It's suitable to use "close correlations with" in academic writing when you want to describe a significant and strong statistical relationship between variables, especially when presenting research findings. Be sure to provide statistical evidence to support your claim.