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corresponding coefficients

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "corresponding coefficients" is correct and usable in written English.
It is typically used in mathematical or statistical contexts to refer to coefficients that relate to corresponding variables or terms in equations or models. Example: "In the regression analysis, we need to examine the corresponding coefficients to understand the relationship between the independent and dependent variables."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

b The corresponding coefficients.

The formulations and the corresponding coefficients are introduced.

The magnitude of the corresponding coefficients differs only slightly.

The corresponding coefficients can be determined recursively by using Eqs.

The corresponding coefficients of the norm are insignificant.

The corresponding coefficients of variation (CV) are 0.11 and 0.08, respectively.

Then, a matrix D ̂ containing atoms whose corresponding coefficients in α ̂ are nonzero values is obtained.

Then we use Mathematica 8.0 to compare the corresponding coefficients up to N ≤ 45.

Let (a^_{0},a^_{1}) be the corresponding coefficients in f i (x).

c The decomposed class-specific and shared TF bases and the corresponding coefficients.

Equation 6a essentially reflects the Davis's equation with the corresponding coefficients.

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Expert writing Tips

Best practice

When discussing statistical models or equations, clearly define what the "corresponding coefficients" relate to. For example, specify "the corresponding coefficients for each variable in the regression model".

Common error

Avoid using "corresponding coefficients" without clearly stating what they correspond to. Ambiguity can confuse readers; always provide the necessary context to understand which variables or terms the coefficients are associated with.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

80%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "corresponding coefficients" functions as a noun phrase, typically used to identify specific coefficients within a mathematical or statistical model. As Ludwig AI highlights, it's frequently used in scientific contexts.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

Formal & Business

0%

News & Media

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "corresponding coefficients" is a grammatically correct and very common term, primarily used in scientific and academic writing. As Ludwig AI confirms, it's essential to provide clear context to specify what these coefficients relate to, avoiding ambiguity. Alternatives like "related coefficients" or "respective coefficients" can be used, but precision is key. When writing, ensure you define what the coefficients correspond to for maximum clarity.

FAQs

How do I use "corresponding coefficients" in a sentence?

Use "corresponding coefficients" to refer to coefficients that relate to specific variables or terms in a model or equation. For example, "The table shows the variables and their "corresponding coefficients" in the regression model."

What is an alternative to "corresponding coefficients"?

Alternatives include "related coefficients", "respective coefficients", or "associated coefficients", depending on the specific context.

What does "corresponding coefficients" mean in statistics?

In statistics, "corresponding coefficients" refer to the coefficients that are specifically associated with particular variables or terms within a statistical model. They indicate the effect of each variable on the outcome.

How are "corresponding coefficients" interpreted in a regression analysis?

In regression analysis, the "corresponding coefficients" indicate the change in the dependent variable for each unit change in the independent variable, holding other variables constant. Their magnitude and sign reveal the strength and direction of the relationship.

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