How can we find value where nobody else can see it?
Learning objectives, requirement tasks, and mastery assessments  Use linear regression to describe patterns linking two quantitative variables.
 Mastery quiz:
 Identify association and correlation in a scatterplot.
 Use StatKey to calculate the line of best fit and correlation
 Explain the slope and yintercept of a line with proper units
 Find and explain r^{2}
 Understand the effect of outliers and influential points on the regression line
 Predict new values using interpolation and extrapolation with the regression line. Understand each of their limitations.
 Mastery freeresponse questions:
 The purpose of intercepts in regression
 Multiple regression
 Nonlinear transformations
 Use inference with a bestfit line to quantify confidence.
 Mastery quiz:
 Find a confidence interval of the slope
 Describe in a sentence
 Find the pvalue for a test that the slope in not zero
 In a team, use multiple regression and spreadsheets to estimate Ultimate Frisbee player value and draft a winning team.
 Task:
 Watch the movie Moneyball
 Learn the game Ultimate Frisbee by playing and observing
 Gain insight into player valuation from playing
 Run multiple regression on multiple statistics, and create your own stats
 Rank players
 Mastery reflection questions:
 Discuss how you used your intuition and understanding of the game and how you also used pure statistical analysis to best identify talent.
 Talk about how you approached spreadsheets with over 50,000 cells in a way that left you informed for the draft. You can draw on the days we played Ultimate, watched Moneyball, and worked as teams on the formula/graphs.
 Reference the article discussion (Billion Dollar Beane) to explain why this process is so incredibly valuable in any industry where you are searching for talent.
