variable x denotes the player payroll (in millions of dollars) for the year 2002, and the variable y denotes the mean attendance (in thousands of fans) for the 81 home games that year. The data are plotted in the scatter plot below, as is the least-squares regression line. The equation for this line is y =5.91+0.34x. Player рayroll, x (in $1,000,000s) thousands) 103.5 Mean attendance, y (in Arizona 39.51 Atlanta 93.8 32.10 45 Chicago Cubs 75.0 33.21 40 Cincinnati 46.3 22.96 35+ Colorado 56.6 33.83 30 Florida 40.8 10.00 25+ Houston 65.4 31.11 Los Angeles Milwaukee 101.5 38.64 15- 49.3 24.32 10 Montreal 37.9 10.00 New York Mets 94.4 34.57 20 40 100 120 140 Philadelphia Pittsburgh San Diego 59.6 20.00 Player payroll, x (in $1,000,000s) 46.1 21.98 41.8 27.41 San Francisco 78.4 40.12 St Louis 76.2 37.16 Send data to calculator v Send data to Excel Based on the sample data and the regression line, complete the following. For these data, mean attendance values that are less than the mean of the mean attendance values tend to be paired with player payroll values that are (Choose one the mean of the player payroll values. ? (b) According to the regression equation, for an increase of one million dollars in player payroll, there is a corresponding (Choose one) of 0.34 thousand fans in mean attendance. (c) What was the observed mean attendance (in thousands of fans) when the player payroll was 93.8 million dollars? (d) From the regression equation, what is the predicted mean attendance (in thousands of fans) when the player payroll is 93.8 million dollars? (Round your answer to at least two decimal places.) Mean attendane, y (spuesnop u)
variable x denotes the player payroll (in millions of dollars) for the year 2002, and the variable y denotes the mean attendance (in thousands of fans) for the 81 home games that year. The data are plotted in the scatter plot below, as is the least-squares regression line. The equation for this line is y =5.91+0.34x. Player рayroll, x (in $1,000,000s) thousands) 103.5 Mean attendance, y (in Arizona 39.51 Atlanta 93.8 32.10 45 Chicago Cubs 75.0 33.21 40 Cincinnati 46.3 22.96 35+ Colorado 56.6 33.83 30 Florida 40.8 10.00 25+ Houston 65.4 31.11 Los Angeles Milwaukee 101.5 38.64 15- 49.3 24.32 10 Montreal 37.9 10.00 New York Mets 94.4 34.57 20 40 100 120 140 Philadelphia Pittsburgh San Diego 59.6 20.00 Player payroll, x (in $1,000,000s) 46.1 21.98 41.8 27.41 San Francisco 78.4 40.12 St Louis 76.2 37.16 Send data to calculator v Send data to Excel Based on the sample data and the regression line, complete the following. For these data, mean attendance values that are less than the mean of the mean attendance values tend to be paired with player payroll values that are (Choose one the mean of the player payroll values. ? (b) According to the regression equation, for an increase of one million dollars in player payroll, there is a corresponding (Choose one) of 0.34 thousand fans in mean attendance. (c) What was the observed mean attendance (in thousands of fans) when the player payroll was 93.8 million dollars? (d) From the regression equation, what is the predicted mean attendance (in thousands of fans) when the player payroll is 93.8 million dollars? (Round your answer to at least two decimal places.) Mean attendane, y (spuesnop u)
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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Transcribed Image Text:For major league baseball teams, do higher player payrolls mean more gate money? Here are data for each of the National League teams in the year 2002. The
variable x denotes the player payroll (in millions of dollars) for the year 2002, and the variable y denotes the mean attendance (in thousands of fans) for the 81
home games that year. The data are plotted in the scatter plot below, as is the least-squares regression line. The equation for this line is y =5.91+0.34x.
Player
payroll,
x (in
$1,000,000s) thousands)
Мean
attendance, y
(in
Arizona
103.5
39.51
Atlanta
93.8
32.10
45-
Chicago Cubs
75.0
33.21
40-
Cincinnati
46.3
22.96
35
Colorado
56.6
33.83
30-
Florida
40.8
10.00
Houston
65.4
31.11
Los Angeles
101.5
38.64
15
Milwaukee
49.3
24.32
10-
Montreal
37.9
10.00
New York Mets
94.4
34.57
120
140
Philadelphia
59.6
20.00
Player payroll,
x (in
$1,000,000s)
Pittsburgh
46.1
21.98
San Diego
41.8
27.41
San Francisco
78.4
40.12
St Louis
76.2
37.16
Send data to calculator
Send data to Excel
Based on the sample data and the regression line, complete the following.
(a) For these data, mean attendance values that are less than the mean of the mean attendance values tend to be paired
with player payroll values that are
the mean of the player payroll values.
(Choose one)
(b) According to the regression equation, for an increase of one million dollars in player payroll, there is a corresponding
(Choose one) of U.34 thousand fans in mean attendance.
(c) What was the observed mean attendance (in thousands of fans) when the player payroll was 93.8 million dollars?
(d) From the regression equation, what is the predicted mean attendance (in thousands of fans) when the player payroll is
93.8 million dollars? (Round your answer to at least two decimal places.)
(spuesnop u)
Mean attendane, y
O
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