In: Statistics and Probability
Is there a relationship between total team salary and team performance in a sport such as professional basketball? To answer this question we will examine the number of wins and total team payroll in a recent season for all the teams in the National Basketball Association (NBA). The data are in this Excel file.
Question 1. Let the x-variable be the team
payroll and let the y-variable be the team wins. Find the intercept
b0 and slope b1 of the least squares
prediction line Wins^ = b0 +
b1*Payroll.
______ intercept (use 2 decimal places in your answer)
______ slope (use 3 decimal places in your answer)
Question 2. If an NBA team spent an additional
$8.2 million in team salary, how many more games could the team
expect to win? (Use 1 decimal place in your answer).
_______
Question 3. Suppose a basketball team spent
$112 million on salaries and won 46 games.
Part a. Based on their payroll would they have
done better or worse than predicted? (only 1 submission
allowed).
Worse than predicted or better than predicted?
Part b. What is the residual for this
basketball team? (use 2 decimal places in your answer)
________
Question 4. All teams have a goal to make the postseason playoffs. A basketball team thinks that it can make the playoffs next year if it wins 7 more games. How much should the basketball team increase its payroll if it wants to make the playoffs next year?
Note: Use 2 decimal places. Your answer should
be in units of $1 million; do NOT include a dollar sign in the
answer; for example, if a team should increase its payroll by
$5,250,000, then the answer is 5.25.
$ ________ increase in team payroll (in $million) needed for
basketball team to win 7 more games
DATA:
Payroll |
Wins |
137.363 |
50 |
105.355 |
35 |
115.084 |
55 |
98.285 |
25 |
107.889 |
46 |
119.109 |
49 |
119.070 |
65 |
116.154 |
47 |
85.904 |
24 |
119.800 |
48 |
107.613 |
48 |
100.414 |
24 |
94.818 |
21 |
131.223 |
44 |
89.425 |
27 |
100.794 |
52 |
100.086 |
39 |
94.430 |
48 |
117.228 |
36 |
120.805 |
44 |
96.040 |
28 |
116.575 |
59 |
107.855 |
29 |
137.495 |
58 |
117.469 |
47 |
110.273 |
22 |
134.294 |
48 |
124.180 |
43 |
118.907 |
42 |
95.628 |
27 |