essentially linear correlation

USAGE SUMMARY

The phrase "essentially linear correlation" is correct and usable in written English.
It can be used in contexts where you are discussing the relationship between two variables that closely follow a linear pattern, but may have some deviations. Example: "The data shows an essentially linear correlation between temperature and ice cream sales, indicating that as temperatures rise, sales tend to increase."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

The essentially linear correlation between electrical and thermal conductivities (Wiedemann–Franz Law) is because both conductions are governed by the preferred orientation.

Carbon

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

First, they are essentially linear models and thus ignore the correlation between the various positions in the peptide ligand (Liu et al., 2010).

Bioinformatics

Correlation-based models are essentially linear, so that considerable insight into the developmental process can be obtained by solving an associated eigenvalue problem [ 36].

Cognitive Computation

However, PSSM based models have several drawbacks as they are essentially linear models and thus unable to consider the positional correlation between the amino acid positions in the binding peptides.

BMC Genomics

Protein size was here considered as protein length (number of amino acids), however, as the correlation between protein length and protein weight in yeast is essentially linear (r2 = 0.9987) protein length and weight may be regarded as equivalent measures.

BMC Evolutionary Biology

Linear correlation coefficients > .89 between loudness and time show that time-series loudness responses to dynamic up-ramp and down-ramp melodies are essentially linear across all melodies.

Acta Psychologica

The linear correlation coefficient=0.60 and the correlation probability=0.49%.

Nature

The linear correlation coefficient has been used to quantify the magnitude of linear correlation.

Nature

The null hypothesis of the linear correlation testing is: there is no linear correlation between two variables.

Nature

The corresponding linear correlation coefficients of −0.75 and −0.70 suggest reasonably strong negative correlations.

Nature

The obtained linear correlation coefficient of −0.38 indicates a weak negative correlation.

Nature

Expert writing Tips

Best practice

When describing data, clarify the degree to which the relationship approximates linearity; use qualifiers such as "nearly", "approximately", or "largely" to provide a nuanced understanding of the correlation.

Common error

Avoid stating that a relationship is an "essentially linear correlation" without acknowledging potential deviations or non-linear elements. Overlooking these nuances can lead to inaccurate interpretations of the data.

Linguistic Context

The phrase "essentially linear correlation" functions as a descriptive term to characterize the relationship between two variables. As Ludwig AI explains, it indicates that a linear model can reasonably approximate the relationship even if there are slight deviations. The example provided by Ludwig AI supports its use in describing data relationships.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "essentially linear correlation" is a descriptive term used primarily in scientific contexts to indicate a relationship between variables that closely approximates a linear pattern, while acknowledging minor deviations. As Ludwig AI confirms, it's considered grammatically correct. Though relatively rare, its usage is consistent and precise. To improve clarity in your writing, be mindful of specifying the degree of linearity and acknowledging potential non-linear elements. While "essentially linear correlation" is acceptable, alternatives like "largely linear association" can offer a broader description depending on the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

largely linear association

Changes "correlation" to "association" and replaces "essentially" with "largely", indicating a slightly broader connection.

primarily linear relationship

Substitutes "essentially" with "primarily" and "correlation" with "relationship", highlighting the linear aspect as dominant.

mostly linear dependence

Replaces "correlation" with "dependence" and "essentially" with "mostly", emphasizing the influence of one variable on another in a linear fashion.

substantially linear relation

Changes "essentially" to "substantially" and "correlation" to "relation", conveying a considerable degree of linearity.

approximately linear correlation

Replaces "essentially" with "approximately", indicating a less precise but still largely linear association.

near linear relationship

Uses "near" instead of "essentially", suggesting a proximity to a perfect linear relationship.

predominantly linear correlation

Substitutes "essentially" with "predominantly", stressing the prevalence of linearity in the correlation.

generally linear trend

Replaces "correlation" with "trend", shifting the focus to the overall direction of the relationship being linear.

mainly linear connection

Changes "essentially" to "mainly" and "correlation" to "connection", implying a fundamental linear link.

effectively linear correspondence

Uses "effectively" for "essentially" and "correspondence" for "correlation", highlighting a functional linear equivalence.

FAQs

How can I describe a relationship that isn't perfectly linear?

Instead of stating a perfect linear correlation, use phrases like "largely linear association", "approximately linear correlation", or "near linear relationship" to indicate that the relationship closely resembles a linear pattern but may have some deviations.

What does "essentially linear correlation" mean?

It indicates that the relationship between two variables is mostly linear but allows for minor deviations from a perfect straight line. It suggests that a linear model can reasonably approximate the relationship.

In what fields is the phrase "essentially linear correlation" commonly used?

This phrase is frequently used in scientific disciplines, particularly in data analysis and research, to describe relationships between variables. It can also appear in technical contexts.

What's the difference between "essentially linear correlation" and "linear correlation"?

"Linear correlation" implies a perfectly straight-line relationship. "Essentially linear correlation" acknowledges that the relationship is primarily linear but may include slight non-linearities or deviations from a perfect linear pattern. In other words, "linear correlation" is more strict than "essentially linear correlation".