Key concepts

• Simple linear regression (and its components)
• Ordinary least squares
• Confidence band
• Prediction interval

Sessions

Class 1. Overview of regression

• Overview of regression
  • Regression equation
  • Interpreting regression coefficients
  • Ordinary least squares
• Correlation recap
  • What are some factors affecting the size of correlactions?
• Reading
  • GHV ch 6 (6.1, 6.3, skim 6.2)
• Video
  • Pearson’s correlation, clearly explained!!

Class 2. Simple linear regression

• Definition of SLR
• From correlations to SLR
• Interpretations of...
  • Fitted line, intercept, slope, standarded errors of parameter estimates, residual variance, and confidence band.
• Formulating comparisons as regression models
• Reading
  • GHV ch 7 (7.1, 7.3)