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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 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 San Diego San Francisco St Louis Send data to calc... v 94.4 59.6 46.1 41.8 78.4 76.2 . Mean attendance, y (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) x 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.

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 San Diego San Francisco St Louis Send data to calc... v 94.4 59.6 46.1 41.8 78.4 76.2 . Mean attendance, y (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) x 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.

MATLAB: An Introduction with Applications
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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For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of (Espa 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 San Diego San Francisco St Louis Send data to calc... v 59.6 46.1 41.8 78.4 76.2 ▸ Mean attendance, y (in thousands) 39.51 32.10 33.21 22.96 33.83 10.00 131.11 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) 45- 40- 35- 10- 5- 0 x 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. C 5
Transcribed Image Text:For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of (Espa 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 San Diego San Francisco St Louis Send data to calc... v 59.6 46.1 41.8 78.4 76.2 ▸ Mean attendance, y (in thousands) 39.51 32.10 33.21 22.96 33.83 10.00 131.11 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) 45- 40- 35- 10- 5- 0 x 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. C 5
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