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key predictor variables

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "key predictor variables" is correct and usable in written English.
It is typically used in statistical analysis or research contexts to refer to important variables that are used to predict outcomes in a model. Example: "In our study, we identified several key predictor variables that significantly influenced the results of the experiment."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

13 human-written examples

In situ habitat characteristics explained 16% of the variation in arthropod order richness, with key predictor variables including farming practice, height of oil palm stands, and number of immature palm.

Within key predictor variables, preferred reading material, i.e. newspapers, non-fiction books or novels, and the frequency of extra-curricular reading had strong simple and interactive effects.

Both control variables (gender, type of school, parental educational level) and key predictor variables (preferred school courses, preferred reading material, frequency of reading) and their interactions were considered in the final selected ANOVA model.  .

The key predictor variables are whether the partner was known to be HIV-positive, negative, or was of unknown HIV status.

Science

Plosone

Correlations among the key predictor variables are presented in Table  2.

We fitted the key predictor variables using unadjusted log probability regression to the replication and confirmation cohorts.

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Human-verified similar examples from authoritative sources

Similar Expressions

47 human-written examples

A key predictor variable for juvenile delinquency is the presence of delinquent peers.

The key predictor variable was time in hours which we assumed to be linear.

The key predictor variable in this study was the woman's HIV status.

Other strengths include the utilization of medical record data, rather than self-report, for our key predictor variable of linkage to care, and detailed analyses controlling for important variables that may be related to our outcome variables.

Another key predictor variable is the marriage cohort, which is intended to capture the changes in first birth rate, which is often determined by economic circumstances, especially the availability of housing.

Science

BMJ Open
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Expert writing Tips

Best practice

When discussing statistical models, clearly define and justify your choice of "key predictor variables" to ensure transparency and replicability.

Common error

Avoid claiming that your "key predictor variables" are the only factors influencing an outcome. Acknowledge that other variables may also contribute and that models are simplifications of reality.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "key predictor variables" functions as a noun phrase, typically used to identify the most important independent variables in a statistical model or analysis. Ludwig AI confirms this usage is correct and common, especially in scientific contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "key predictor variables" is a grammatically sound and scientifically relevant term used to emphasize the most influential independent variables in statistical analysis and modeling. As Ludwig AI confirms, this phrase is primarily found in scientific literature, underscoring its role in research and analytical contexts. When employing this phrase, ensure clarity in defining and justifying the selection of these variables. Avoid overstating their importance by acknowledging the potential influence of other factors. Remember to consider semantically related alternatives such as "significant predictive factors" or "primary explanatory factors" to enhance the richness and precision of your writing.

FAQs

How are "key predictor variables" used in research?

In research, "key predictor variables" are used to build models that explain or forecast outcomes. They are selected based on their potential to influence the dependent variable and are often identified through statistical analysis.

What's the difference between predictor and independent variables?

The terms predictor and independent variables are often used interchangeably. However, "predictor variables" are generally used in the context of regression analysis and prediction, while independent variables are a broader concept used in experimental designs to describe variables that are manipulated by the researcher.

What can I say instead of "key predictor variables"?

You can use alternatives like "significant predictive factors", "primary explanatory factors", or "critical influencing factors" depending on the specific context.

How to identify "key predictor variables" in a dataset?

Identifying "key predictor variables" typically involves statistical techniques such as correlation analysis, regression analysis, and feature selection methods. These methods help determine which variables have the strongest relationship with the outcome variable.

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Source & Trust

83%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

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