interactions between predictors vs interaction effects between predictors

Both phrases are correct, but they are used in slightly different contexts. 'Interactions between predictors' is a more general and concise way to refer to the relationships between predictors, while 'interaction effects between predictors' specifies that the focus is on the effects of these interactions.

Last updated: March 17, 2024 • 393 views

interactions between predictors

This phrase is correct and commonly used in statistics and research to describe the relationships between predictors.

This phrase is used to refer to the relationships or associations between different predictors in a statistical model or research study.

Show examples from the web [+]

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:

relationships between predictors
associations between predictors
connections between predictors
correlations between predictors
links between predictors

interaction effects between predictors

This phrase is also correct and is commonly used in statistics and research to specifically highlight the effects of interactions between predictors.

This phrase is more specific and emphasizes the impact or consequences of the interactions between predictors in a statistical model or research study.

Show examples from the web [+]

matically handle interaction effects between predictors. Fitting multiple trees in BRT overcomes the biggest drawback of single tree models: their relatively poor ...
Dec 23, 2014 ... They also reveal interaction effects between predictors operating across a number of different levels of the young person's ecology (e.g., ...
Apr 17, 2015 ... Models to analyse interaction effects between predictors. No missing data were present. All the statistical analyses were carried out using.
Mar 19, 2015 ... The most important aspect in terms of ecological perspective is that BRT automatically handles interaction effects between predictors. Thanks to ...

Alternatives:

effects of interactions between predictors
impact of interactions between predictors
consequences of interactions between predictors
results of interactions between predictors
outcomes of interactions between predictors

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interactions between predictors vs interaction effects between predictors