Home

  1. Introduction
  2. Graphing Distributions
  3. Summarizing Distributions
  4. Describing Bivariate Data
  5. Probability
  6. Research Design
  7. Normal Distribution
  8. Advanced Graphs
  9. Sampling Distributions
  10. Estimation
  11. Logic of Hypothesis Testing
  12. Tests of Means
  13. Power

  14. Regression
    1. Contents
      Standard
    2. Introduction to Linear Regression
      Standard         Video
    3. Linear Fit Demo
      Standard
    4. Partitioning Sums of Squares
      Standard         Video
    5. Standard Error of the Estimate
      Standard         Video
    6. Inferential Statistics for b and r
      Standard         Video
    7. Influential Observations
      Standard         Video
    8. Regression Toward the Mean
      Standard         Video
    9. Introduction to Multiple Regression
      Standard         Video
    10. Statistical Literacy
      Standard  
    11. Exercises
      Standard

  15. Analysis of Variance
  16. Transformations
  17. Chi Square
  18. Distribution Free Tests
  19. Effect Size
  20. Case Studies
  21. Calculators
  22. Glossary
 

Statistical Literacy

Author(s)

David Lane

Regression Toward the Mean in American Football

Prerequisites

Regression Toward the Mean

In a discussion about the Dallas Cowboy football team, there was a comment that the quarterback threw far more interceptions in the first two games than is typical (there were two interceptions per game). The author correctly pointed out that, because of regression toward the mean, performance in the future is expected to improve. However, the author defined regression toward the mean as, "In nerd land, that basically means that things tend to even out over the long run."

What do you think?

Comment on that definition.