identified significant variables vs identified significant predictors

Both phrases are correct, but they are used in different contexts. 'Identified significant variables' is commonly used in statistical analysis when referring to the factors that have a significant impact on the outcome. On the other hand, 'identified significant predictors' is more commonly used in predictive modeling or machine learning contexts to refer to the variables that are used to predict an outcome.

Last updated: March 17, 2024

identified significant variables

This phrase is correct and commonly used in statistical analysis.

This phrase is used in statistical analysis to refer to the factors that have a significant impact on the outcome being studied.

Examples:

The study identified significant variables that influenced the results.
Researchers identified significant variables affecting the experiment.

Alternatives:

identified important factors
identified key variables
identified crucial elements
identified relevant parameters
identified essential components

identified significant predictors

This phrase is correct and commonly used in predictive modeling or machine learning contexts.

This phrase is used in predictive modeling or machine learning to refer to the variables that are used to predict an outcome.

Examples:

The model identified significant predictors of customer churn.
The algorithm identified significant predictors of stock price movements.

Alternatives:

identified important predictors
identified key predictors
identified crucial predictors
identified relevant predictors
identified essential predictors

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identified significant variables vs identified significant predictors