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interactions among predictors vs interactions between predictors

Both phrases are correct, but the choice between 'interactions among predictors' and 'interactions between predictors' depends on the context. 'Among' is used when referring to interactions within a group of predictors, while 'between' is used when referring to interactions between individual predictors.

Last updated: March 17, 2024 • 433 views

interactions among predictors

This phrase is correct and commonly used when referring to interactions within a group of predictors.

Use 'interactions among predictors' when discussing how predictors interact with each other within a group or set of predictors.

Examples:

  • The study examined interactions among predictors of job satisfaction.
  • There were significant interactions among predictors in the data analysis.
  • Apr 21, 2015 ... Do CART trees capture interactions among predictors? up vote 5 down vote favorite. This paper claims that in CART, because a binary split is ...
  • Does adding interactions among predictors (continuous or categorical) improve the model? Continuous predictors should be centered before interactions made ...
  • In any context in which a statistical model is used with multiple predictors, the possibility of interactions among predictors can arise. What precisely one means  ...
  • are the parameters for the main effects and interactions among predictors. tex2html_wrap_inline564 comprises all possible main effect and interaction terms for ...

Alternatives:

  • interactions within predictors
  • interactions amidst predictors
  • interactions amid predictors
  • interactions amidst predictors
  • interactions within the group of predictors

interactions between predictors

This phrase is correct and commonly used when referring to interactions between individual predictors.

Use 'interactions between predictors' when discussing how individual predictors interact with each other.

Examples:

  • The research focused on interactions between predictors in the model.
  • There were strong interactions between predictors in the study.
  • 12.5 - Interactions Between Predictors: Reading Output and Calculating Group Means. One of the challenges of using mutliple predictor variables is the reality ...
  • 12.3 - Regression Assumptions in ANOVA up 12.5 - Interactions Between Predictors: Reading Output and Calculating Group Means › · Login or register to post ...
  • ... an interaction greatly increases the number of pairwise comparisons. ‹ 12.6 - Visualizing Interactions Between Predictors up 12.8 - The HSD.test() Function ›.
  • Apr 21, 2015 ... ... structure of a tree guarantees that interactions between predictors are automatically modeled (e.g., this paper, and of course the Hastie).

Alternatives:

  • interactions among individual predictors
  • interactions among specific predictors
  • interactions among distinct predictors
  • interactions among separate predictors
  • interactions between the predictors

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