key coefficient

USAGE SUMMARY

The phrase "key coefficient" is correct and usable in written English.
It can be used in contexts such as statistics, mathematics, or economics to refer to an important numerical factor that influences a particular outcome or relationship. Example: "In our regression analysis, the key coefficient indicates the strength of the relationship between the independent and dependent variables."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

key coefficient.

Journal of Economic Structures

aberrant key coefficient.

Journal of Economic Structures

The coefficient on T hc is the key coefficient of interest and represents the effect of the program offer.

IZA Journal of Labor Policy

Hence, the individual fixed effects are likely to be correlated with our measure of technical change and may therefore bias the estimates of our key coefficient.

IZA Journal of Labor Policy

The key coefficient in these models that measures the effect of influence is the variable for alter's Wave II behavior [23].

Plosone

SOC modelling was conducted under a number of parameter settings to examine the effect of soil erosion, crop yield increases, and the calibration of values for a key coefficient that represents the soil cultivation effect.

Biotechnology for Biofuels

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

Some sectors do not have key coefficients.

Journal of Economic Structures

Fig. 3 Aberrant key coefficients in each province Fig. 4 Aberrant key coefficients in each sector.

Journal of Economic Structures

No significant change occurs in the key coefficients.

IZA Journal of Labor Policy

Fig. 1 Sector distributions of key coefficients, viewed by row (left) and column (right).

Journal of Economic Structures

Aberrant key coefficients measure accuracy and consistency in the time series, and incoherent sectors examine coherence.

Journal of Economic Structures

Expert writing Tips

Best practice

When using "key coefficient", ensure the context clearly defines what the coefficient represents and why it is considered 'key'. This provides clarity and strengthens the analysis.

Common error

Avoid labeling a coefficient as "key coefficient" without providing specific justification. Always explain its significance in the context of your analysis to prevent ambiguity.

Linguistic Context

The phrase "key coefficient" functions as a noun phrase that identifies a significant numerical factor within a statistical or mathematical model. As seen in Ludwig, it points to a coefficient of particular importance in determining an outcome or relationship.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "key coefficient" is a grammatically sound and frequently employed term, particularly within scientific and academic contexts. Ludwig AI confirms its usability. It is used to emphasize the significance of a specific numerical factor or variable in a model or analysis. When using this phrase, it is important to provide clear context on why the coefficient is considered "key", avoiding generalizations and ensuring clarity for the reader. Alternatives like "important factor" or "critical variable" may be used depending on the specific nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

important factor

This alternative emphasizes the significance of the element without specifically referring to a coefficient.

critical variable

This phrase highlights the role of the coefficient as a variable essential for the analysis.

essential parameter

This alternative focuses on the parameter's necessity in a model or calculation.

significant indicator

This option underscores the coefficient's role as a sign or signal of a specific trend or outcome.

primary determinant

This phrase emphasizes the coefficient's influence as a decisive factor.

major component

This choice highlights the coefficient's role as a substantial part of a larger system or equation.

leading metric

Focuses on the coefficient as a standard for measurement and evaluation.

crucial element

This alternative underscores the coefficient's irreplaceability or vital nature.

vital statistic

This alternative emphasizes the coefficient's role as a critical piece of data.

pivotal value

This phrase stresses that the coefficient is a central or turning-point value.

FAQs

What does "key coefficient" mean in research?

In research, a "key coefficient" refers to a coefficient that is particularly important or influential in determining the outcome of a statistical model or analysis. It's often the coefficient that has the largest effect size or the most significant impact on the dependent variable.

How can I identify the "key coefficient" in my analysis?

The "key coefficient" can be identified through various methods such as examining the magnitude and statistical significance of coefficients, conducting sensitivity analyses, or using domain expertise to determine which variables are most likely to have a substantial impact.

Are there alternatives to using the term "key coefficient"?

Yes, you can use alternatives such as "important factor", "critical variable", or "essential parameter" depending on the specific context and emphasis you want to convey.

In what contexts is the term "key coefficient" commonly used?

The term "key coefficient" is commonly used in various fields that rely on statistical modeling and analysis, such as economics, finance, engineering, and social sciences, where identifying influential factors is crucial for understanding complex phenomena.