Scholarlink

To meet the linearity assumption in linear regression, transformations are sometimes necessary. We examine polynomials and logarithms and their interpretation. We also look at interaction effects and mediation effects. We discuss discrete changes and marginal effects.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Transformations, Interaction, and Mediation

  • 章节

  • 发表日期：

    2026年

查看全文
  • Benjamin E. Schlegel

摘要

To meet the linearity assumption in linear regression, transformations are sometimes necessary. We examine polynomials and logarithms and their interpretation. We also look at interaction effects and mediation effects. We discuss discrete changes and marginal effects.