In the previous chapter, you looked at the relationship between the number of wins by American League baseball teams and the average attendance at their home games for the 2013 season. Here are the scatterplot, the residuals plot, and part of the regression analysis:

Dependent variable is Home Attendance
R-squared = 6.45%
VariableCoefficient
Intercept €¦€¦€¦...16484.0
Wins €¦€¦€¦......... 147.4
a) Do you think a linear model is appropriate here? Explain.
b) Interpret the meaning of R2 in this context.
c) Do the residuals show any pattern worth remarking on?
d) The point at the top of the plots is the New York Yankees. What can you say about the residual for the Yankees?

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40,000 35.000 30,D00 25,000 t 20.000 + ◆ 50 60 7080 90 10,000 5,000 -5,000 -10,000 24,000 27,000 30,000 33,000 Fitted Values