essence of correlation

USAGE SUMMARY

The phrase "essence of correlation" is correct and usable in written English.
It can be used when discussing the fundamental nature or underlying principles of correlation in a statistical or analytical context. Example: "To truly understand the essence of correlation, one must explore how variables interact and influence each other."

✓ Grammatically correct

Science

News & Media

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

The essence of active GE correlation is choice: Individuals select, modify and create experiences that are correlated with their genetic propensities.

Behavior Genetics

The SAE model does not need the prior defining features [9]; only through setting up the node numbers of hidden layer units, the hidden layer information of the target object images can be automatically learnt, and the essence of the internal correlation of the target object images can be obtained.

EURASIP Journal on Wireless Communications and Networking

Secondly, the ENCODE analyses are built on deep layers of previous functional genomics work, and are in essence a series of correlations: the following epigenetic marks correlate with such and such other features of the genome.

BMC Genomics

In essence the correlation enables the quantification of the extent of a country's obligation to support global TB research and has been labeled as the Global Justice Index.

Health Research Policy and Systems

The results of this analysis are reported in Figure 2. It shows that the selective deactivation of correlations does alter the essence of the transition.

Plosone

As noted, it helps explain the lack of correlation between weak income growth for the majority of households and aggregate consumption, in essence, substituting credit and wealth effects for income growth.

Huffington Post

Cross-trait twin correlations (e.g. twin 1 reading versus twin 2 mathematics) are the essence of multivariate genetic analysis.

Genes, Brain and Behavior

The essence of the reconstruction algorithm is to establish the relationship between the sampled vertices and the unsampled vertices according to the spatial correlation.

EURASIP Journal on Advances in Signal Processing

Essence of essence.

The Guardian - Music

The essence of matter.

Independent

The essence of the split?

The New York Times

Expert writing Tips

Best practice

When discussing the "essence of correlation", ensure you clearly define the variables being correlated and the context in which the relationship is being examined. Be specific about what fundamental aspect you're addressing.

Common error

Avoid using "essence of correlation" in contexts where a simpler description of the relationship between variables would suffice. Overusing this phrase can make your analysis seem unnecessarily complex or vague. Instead, be direct about the observed relationship or lack thereof.

Linguistic Context

The phrase "essence of correlation" functions as a noun phrase, aiming to capture the most fundamental or intrinsic aspect of a correlational relationship. Ludwig AI indicates that it is considered grammatically correct, though usage might be limited.

Expression frequency: Missing

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Ludwig's WRAP-UP

In summary, the phrase "essence of correlation" is grammatically correct but relatively uncommon. Ludwig AI analysis confirms its acceptability, suggesting it's best used when emphasizing the fundamental nature of a correlation, particularly in scientific or analytical contexts. When writing, ensure you define the variables and context clearly. Alternatives like "core of the correlation" or "fundamental nature of correlation" may offer more accessible phrasing. Consider avoiding the phrase in simpler contexts where a direct description of the relationship suffices.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

core of the correlation

This alternative replaces "essence" with "core", emphasizing the central and most important aspect of the correlation.

heart of the correlation

Using "heart" instead of "essence" highlights the fundamental and vital aspect of the relationship.

fundamental nature of correlation

This phrase replaces "essence" with "fundamental nature", providing a more descriptive and formal alternative.

underlying principle of correlation

This alternative focuses on the foundational rules or laws that govern the correlation.

basic principle of correlation

Focuses on fundamental, elementary aspects rather than the inherent nature.

gist of the correlation

Swaps "essence" for "gist," reducing formality and focusing on a simplified overview.

crux of the correlation

This alternative highlights the most critical point or feature of the correlation.

the spirit of the correlation

Using "spirit" in place of "essence" suggests a more abstract or philosophical understanding of the correlation.

the key aspect of correlation

Shifting to "key aspect" changes the focus to what is noteworthy or significant about the correlation.

the central theme of correlation

This alternative emphasizes the recurring or unifying idea behind the correlation.

FAQs

How can I better understand the "essence of correlation" in data analysis?

Focus on understanding the underlying relationship between the variables you're analyzing. Look at scatter plots, calculate correlation coefficients, and consider potential confounding factors to grasp the true nature of the association.

What's a simpler way to refer to the "essence of correlation"?

Depending on the context, you could use phrases like "nature of the correlation", "core relationship", or "underlying association" to convey a similar meaning without using the more abstract term "essence".

When is it appropriate to use the phrase "essence of correlation"?

Use "essence of correlation" when you want to emphasize the fundamental or most important aspect of the relationship between variables, particularly when exploring the theoretical or conceptual underpinnings of that relationship.

What are some common pitfalls when interpreting the "essence of correlation"?

Be cautious of assuming causation based solely on correlation. Also, be aware of lurking variables that may influence the observed relationship. Understanding these nuances is crucial for correctly interpreting the "nature of the correlation".