Week 5

Introduction

Digging deeper into linear regression. Time will be spent to show/prove via simulation the least square criterion that is minimized by the regression estimates. The foundation for inference using classical statistical methods will be explored.

Objectives

  • Understand the least squares minimization for regression.
  • Explore inference for regression parameters.
  • Define what a standard error is.
  • Define null hypothesis significance testing (NHST)

Activities

Assignments

  • Quiz 1
  • Quiz 2
  • Quiz 3
  • Practice Problem 1 - Coming soon.
  • Practice Problem 2 - coming soon.
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