For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of the National League teams for the year 2002. The variable x denotes the 2002 player payroll (in millions of dollars), and the variable y denotes the mean attendance (in thousands of fans) for the team's home games that year. The data are plotted in the Figure 1 scatter plot. Arizona Atlanta Chicago Cubs Cincinnati Colorado Florida Houston Los Angeles Milwaukee Montreal New York Mets Philadelphia Pittsburgh Player payroll, x (in $1,000,000 s) 103.5 93.8 75.0 46.3 56.6 40.8 65.4 101.5 49.3 37.9 94.4 59.6 46.1 41.8 78.4 76.2 San Diego San Francisco St Louis Send data to calc... ✔ Mean attendance, (in thousands) 39.51 32.10 33.21 22.96 33.83 10.00 31.11 38.64 24.32 10.00 34.57 20.00 21.98 27.41 40.12 37.16 Send data to Excel Mean attendance (in thousands) 0 20 40 60 80 100 120 140 Player payroll (in $1,000,000 s) Figure 1 The least-squares regression line for these data has a slope of approximately 0.34. Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary, consult a list of formulas.) (a) What is the value of the y-intercept of the least-squares regression line for these data? Round your answer to at least two decimal places. 0 (b) What is the value of the sample correlation coefficient for these data? Round your answer to at least three decimal places. D X
For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of the National League teams for the year 2002. The variable x denotes the 2002 player payroll (in millions of dollars), and the variable y denotes the mean attendance (in thousands of fans) for the team's home games that year. The data are plotted in the Figure 1 scatter plot. Arizona Atlanta Chicago Cubs Cincinnati Colorado Florida Houston Los Angeles Milwaukee Montreal New York Mets Philadelphia Pittsburgh Player payroll, x (in $1,000,000 s) 103.5 93.8 75.0 46.3 56.6 40.8 65.4 101.5 49.3 37.9 94.4 59.6 46.1 41.8 78.4 76.2 San Diego San Francisco St Louis Send data to calc... ✔ Mean attendance, (in thousands) 39.51 32.10 33.21 22.96 33.83 10.00 31.11 38.64 24.32 10.00 34.57 20.00 21.98 27.41 40.12 37.16 Send data to Excel Mean attendance (in thousands) 0 20 40 60 80 100 120 140 Player payroll (in $1,000,000 s) Figure 1 The least-squares regression line for these data has a slope of approximately 0.34. Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary, consult a list of formulas.) (a) What is the value of the y-intercept of the least-squares regression line for these data? Round your answer to at least two decimal places. 0 (b) What is the value of the sample correlation coefficient for these data? Round your answer to at least three decimal places. D X
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Transcribed Image Text::0
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2
F2
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For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of
the National League teams for the year 2002. The variable x denotes the 2002 player payroll (in millions of dollars), and the
variable y denotes the mean attendance (in thousands of fans) for the team's home games that year. The data are plotted in
the Figure 1 scatter plot.
Arizona
Atlanta
Chicago Cubs
Cincinnati
Colorado
Florida
Houston
Los Angeles
Milwaukee
Montreal
New York
Mets
Philadelphia
Pittsburgh
San Diego
San Francisco
St Louis
Send data to calc....
Check
Mean
Player payroll, x attendance,
(in $1,000,000 s)
#3
80
F3
103.5
93.8
E
✓
D
75.0
46.3
56.6
40.8
65.4
101.5
49.3
37.9
94.4
59.6
46.1
41.8
78.4
76.2
$
4
The least-squares regression line for these data has a slope of approximately 0.34.
Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as
specified below. (If necessary, consult a list of formulas.)
y
(in
thousands)
39.51
32.10
33.21
(a) What is the value of the y-intercept of the least-squares regression line
for these data?
Round your answer to at least two decimal places.
0
AUG
9
Send data to Excel
(b) What is the value of the sample correlation coefficient for these data?
Round your answer to at least three decimal places.
0
Q
22.96
33.83
10.00
31.11
F4
38.64
24.32
10.00
34.57
R
20.00
21.98
27.41
40.12
37.16
LL
Mean attenda
%
5
Figure 1
40
0 20 40 60 80 100 120 140
Player payroll (in $1,000,000 s)
X
0
F5
T
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