The total revenues of skiing facilities and the numbers of people who died from becoming tangled in their bedsheets are shown in Table 50 for various years.

Let x be the total revenue (in billions of dollars) of skiing facilities, and let y be the number of fatalities from people be- coming tangled in their bedsheets, both in the same year.
a. Construct a scatterplot, treating the total annual revenue of skiing facilities as the explanatory variable.
b. Describe the four characteristics of the association. Compute and interpret r as part of your analysis.
c. Find the linear regression equation.
d. Construct a residual plot. Does it support any of the conclusions you made in part (b)? If yes, which one(s)?
e. Find the coefficient of determination. What does it mean in this situation?
f. On the basis of your responses to parts (a) through (e), can you conclude that an increase in the revenue of skiing facilities causes an increase in the number of people who die from becoming tangled in their bedsheets? Explain.

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Table 50 Annual Total Revenues of Skiing Facilities and Numbers of People Who Died from Becoming Tangled in Their Bedsheets Total Revenue of Skiing Facilities billions of dollars) L.55 from Tangled Bedsheets 2000 2001 1.80 .83 1.96 456 509 497 2.18 2.26 2.48 2.44 573 661 741 809