Linear Regression

Resources

• Anscombe data set
  • Graphs in Statistical Analysis. F.J. Anscombe. The American Statistician. Vol. 27 No. 1 (1973): 19.
  • Anscombe's Quartet. Vernier Software & Technology (2011).
• Gender gap in track
  • The article in Nature that motivated me to write the practice problem in this section
    • Athletics: Momentous sprint at the 2156 Olympics? Andrew J. Tatem, Carlos A. Guerra, Peter M. Atkinson, Simon I. Hay. Nature. Vol. 431 (2004): 525–525.
    • Will Women Outpace Men in 2156? Helen Pearson. [email protected] (2004)
  • Responses
    • Linear models can't keep up with sport gender gap. Weia Reinboud. Nature. Vol. 432 (2004): 147.
    • Sprint research runs into a credibility gap. Kenneth Rice. Nature. Vol. 432 (2004): 147.
    • Biology students find holes in gap study. Advanced Placement Biology Class, A&M Consolidated High School, College Station, Texas. Nature. Vol. 432 (2004): 147.
    • Mind the gap: women racers are falling behind. N.C. Craig Sharp. Nature. Vol. 432 (2004): 147.
    • Mind the gap: women racers are falling behind. A. J. Tatem and colleagues reply. Nature. Vol. 432 (2004): 147.
  • Miscellaneous articles on this subject
    • Will women soon outrun men? Whip B.J. & Ward S.A. Nature. Vol. 355 (1992): 25.
    • How Good Can We Get? Using mathematical models to predict the future of athletics. Jonas R. Mureika. Athletics: Canada's National Track and Field/Running Magazine (1998).
    • Projection of World Running Records. Whipp, Brian J.; Ward, Susan A. Medicine & Science in Sports & Exercise. Vol. 38 No. 6 (2006): 1194.
    • Projection of World Running Records: Response. Nevill, Alan; Whyte, Gregory. Medicine & Science in Sports & Exercise. Vol. 38 No. 6 (2006): 1195.
    • Progression in Athletics. Weia Reinboud (2007). Linear regression taken to its illogical extreme with high jump, shot put, and 100 m dash.