Moneyball stud Billy Beane of baseball’s Oakland Athletics is a gracious guest on StatsCenter, who teaches us about data scatterplots and the correlation coefficient. He dives into the statistics behind whether high MLB player salaries have any relationship with the team’s overall wins. Is the correlation between payroll and wins positive, or negative? Is it strong, weak, or non-existent? StatsCenter shatters scatterplots like a weak wooden bat crushing a fastball.
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Jordan Cohen, Executive Producer -- a rising senior at Brentwood High School dedicated to helping more students access life-changing educational opportunities.
YayMath.org – A free online collection of fun and connectable math video lessons, filmed LIVE in the classroom, and now in studio! See what inspired education looks like, at
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Tagged under: Scatterplots,correlation,correlation coefficient,regression,Billy Beane,MLB,trend,strength,shape,linear,nonlinear,Oakland Athletics,New York Yankees,critical values,correlation coefficient table,correlation coefficient calculator,baseball,positive correlation,negative correlation,=-1,=0,=1,statistics,AP statistics,stats,SAT,ACT,GRE,GMAT,math learning videos,StatsCenter,SportsCenter,The Michelson 20MM Foundation,Jordan Cohen,Gary K. Michelson,Contact Light Films
Find more lesson plans like this:Creating & Interpreting Scatterplots: Process & Examples
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