Lesson 22: Review for Exam 3

April 20, 2026

Review:

  • Lesson 21 Simple Regression Datasets
  • Schedule
    • Week of Apr 20 (this week): Review and Exam 3
    • Week of Apr 27: Last two lectures
    • Week of May 4: Review and cumulative Final Exam

Presentation:

  • Review Topics:
    • Scatterplots
    • Correlation
      • Positive or Negative
      • Strong, Moderate, Weak
    • Pearson Correlation Coefficient
    • Least Squares Regression
      • Sum of Squares
      • Linear Regression
      • Calculate slope and y-intercept for linear equation
      • Calculate R-Squared
      • Forecasting with a regression equation (plug in x and solve for y)
    • Cautions about Regression and Correlation
      • Extrapolation
      • Spurious correlation
      • Correlation ≠ causation
      • Lurking variables
      • Influential observations
      • Sensitivity analysis
      • Demonstrating causation
      • Retrospective studies
      • Prospective studies

Activity:

Justin

Justin Holman is CEO of Aftermarket Analytics, where he leads efforts to develop cutting edge sales forecasting and inventory optimization technology for the Automotive Aftermarket. Prior to joining Aftermarket Analytics, Justin managed corporate consulting for the Strategy & Analytics division at MapInfo Corporation, leading major projects for retail clients including The Home Depot, Darden Restaurants, Bridgestone-Firestone, Sainsbury’s and New York & Company. Before that, Justin served as Vice President of Software Development at LogicTools, now part of IBM's supply chain application software group. Justin holds a B.A. from Claremont McKenna College, a Ph.D. from the University of Oregon and an Executive Management certificate from Northwestern University's Kellogg School of Management.

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