2. According to the regression equation, for an increase of one million dollars in player payroll, there is a corresponding increase of how many thousand fans in mean attendance? 3. From the regression equation, what is the predicted mean attendance (in thousands of fans) when the player payroll is 60.7 million dollars? (Round your answer to at least two decimal places.) 4. From the regression equation, what is the predicted mean attendance (in thousands of fans) when the player payroll is 74.9

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
icon
Concept explainers
Question
1. Fill in the blank: For these data, player payroll values that are less
than the mean of the player payroll values tend to be paired with
the mean of the mean
Choose one
mean attendance values that are
attendance values.
2. According to the regression equation, for an increase of one million
dollars in player payroll, there is a corresponding increase of how
many thousand fans in mean attendance?
3. From the regression equation, what is the predicted mean
attendance (in thousands of fans) when the player payroll is 60.7
million dollars? (Round your answer to at least two decimal places.)
4. From the regression equation, what is the predicted mean
attendance (in thousands of fans) when the player payroll is 74.9
million dollars? (Round your answer to at least two decimal places.)
Transcribed Image Text:1. Fill in the blank: For these data, player payroll values that are less than the mean of the player payroll values tend to be paired with the mean of the mean Choose one mean attendance values that are attendance values. 2. According to the regression equation, for an increase of one million dollars in player payroll, there is a corresponding increase of how many thousand fans in mean attendance? 3. From the regression equation, what is the predicted mean attendance (in thousands of fans) when the player payroll is 60.7 million dollars? (Round your answer to at least two decimal places.) 4. From the regression equation, what is the predicted mean attendance (in thousands of fans) when the player payroll is 74.9 million dollars? (Round your answer to at least two decimal places.)
For major league baseball teams, do higher player payrolls mean more
gate money? Here are data for each of the American 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 Figure 1 scatter plot, as is the least-squares
regression line. The equation for this line is î=11.43 +0.23x.
Player payroll,
x (in
$1,000,000.0s)
Mean
attendance, y
(in thousands)
Anaheim
62.8
28.52
Baltimore
56.5
33.09
Boston
110.2
32.72
40-
Chicago White
35-
54.5
20.74
Sox
30
Cleveland
74.9
32.35
25
Detroit
54.4
18.52
20
Kansas City
49.4
16.30
Minnesota
41.3
23.70
15
New York Yankees
133.4
42.84
10
Oakland
41.9
26.79
5
Seattle
86.1
43.70
100 120 140
Tampa Bay
34.7
13.21
Texas
106.9
29.01
Figure 1
Toronto
66.8
20.25
Transcribed Image Text:For major league baseball teams, do higher player payrolls mean more gate money? Here are data for each of the American 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 Figure 1 scatter plot, as is the least-squares regression line. The equation for this line is î=11.43 +0.23x. Player payroll, x (in $1,000,000.0s) Mean attendance, y (in thousands) Anaheim 62.8 28.52 Baltimore 56.5 33.09 Boston 110.2 32.72 40- Chicago White 35- 54.5 20.74 Sox 30 Cleveland 74.9 32.35 25 Detroit 54.4 18.52 20 Kansas City 49.4 16.30 Minnesota 41.3 23.70 15 New York Yankees 133.4 42.84 10 Oakland 41.9 26.79 5 Seattle 86.1 43.70 100 120 140 Tampa Bay 34.7 13.21 Texas 106.9 29.01 Figure 1 Toronto 66.8 20.25
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Correlation, Regression, and Association
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman