Interactions between predictors vs interaction effects between predictors

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interactions between predictors is the most popular phrase on the web. 

interaction effects between predictors

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interactions between predictors

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Some examples and use cases from the internet:

  • Apr 17, 2015 ... Models to analyse interaction effects between predictors. No missing data were present. All the statistical analyses were carried out using.
  • 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., ...
  • Mar 19, 2015 ... The most important aspect in terms of ecological perspective is that BRT automatically handles interaction effects between predictors. Thanks to ...
  • matically handle interaction effects between predictors. Fitting multiple trees in BRT overcomes the biggest drawback of single tree models: their relatively poor  ...
  • The HSD.test() Function ›.
  • Regression Assumptions in ANOVA up 12.5
  • Interactions Between Predictors: Reading Output and Calculating Group Means › · Login or register to post ...
  • 12.3
  • Interactions Between Predictors: Reading Output and Calculating Group Means. One of the challenges of using mutliple predictor variables is the reality ...
  • ... an interaction greatly increases the number of pairwise comparisons. ‹ 12.6
  • 12.5
  • Visualizing Interactions Between Predictors up 12.8

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