Summary

Inferensi untuk Regresi Linear di R

Jo Hardin

Professor, Pomona College

Linear regression as model

  • It estimates an underlying population model
  • It might be linear or might need variable transformations
  • All of LINE conditions should be checked
  • Other variable relationships should be carefully considered
Inferensi untuk Regresi Linear di R

Linear regression as an inferential technique

  • Hypothesis testing using a mathematical model (t-tests)
  • Hypothesis testing using randomization tests
  • Confidence intervals using a mathematical model
  • Confidence intervals using bootstrapping
Inferensi untuk Regresi Linear di R

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Inferensi untuk Regresi Linear di R

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