e. Interpret : O 37% of all garmes will have the average number of runs scored. O There is a 37% chance that the regression line will be a good predictor for the runs scored based on the attendance of the game. O Given any fixed attendance, 37% of all of those games will have the predicted number of runs Scored. O There is a large variation in the runs scored in baseball games, but if you only look at games with a fixed attendance, this varlation on average is reduced by 37%. f. The equation of the linear regression line is: a (Please show your answers to two decimal places)

e. Interpret : O 37% of all garmes will have the average number of runs scored. O There is a 37% chance that the regression line will be a good predictor for the runs scored based on the attendance of the game. O Given any fixed attendance, 37% of all of those games will have the predicted number of runs Scored. O There is a large variation in the runs scored in baseball games, but if you only look at games with a fixed attendance, this varlation on average is reduced by 37%. f. The equation of the linear regression line is: a (Please show your answers to two decimal places)

Name: Repost What is the relationship between the attendance at a major leag
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Description: Repost What is the relationship between the attendance at a major league ball game and the total number of runsScored? Attendance figures (In thousands) and the runs scored for 12 randomly selected games are shownbelow.Attendance2154514360596.1852352

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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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

Repost

What is the relationship between the attendance at a major league ball game and the total number of runs
Scored? Attendance figures (In thousands) and the runs scored for 12 randomly selected games are shown
below.
Attendance
21
54
51
43
60
59
6.
18
52
35
23
18
12
Runs
3.
6
9.
9
a. Find the correlation coefficient: r =
Round to 2 decimal places.
0.61
b. The null and alternative hypotheses for correlation are:
Ho: pv = 0
H1: pv 0
The p-value is: 0.03352
(Round to four decimal places)
c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context
of the study.
O There is statistically significant evidence to conclude that there is a correlation between the
attendance of baseball games and the runs scored. Thus, the regression line is useful.
O There is statistically significant evidence to conclude that a game with a higher attendance
will have more runs scored than a game with lower attendance.
O There is statistically significant evidence to conclude that a game with higher attendance will
have fewer runs scored than a game with lower attendance.
O There is statistically insignificant evidence to conclude that there is a correlation between the
attendance of baseball games and the runs scored. Thus, the use of the regression line is not
appropriate.
d. r2 =
(Round to two decimal places) (Round to two decimal places)
e. Interpret r2:
O 37% of all games will have the average number of runs scored.
O There is a 37% chance that the regression line will be a good predictor for the runs scored
based on the attendance of the game.
O Given any fixed attendance, 37% of all of those games will have the predicted number of runs
scored.

e. Interpret r:
O 37% of all games will have the average number of runs scored.
O There is a 37% chance that the regression line will be a good predictor for the runs scored
based on the attendance of the game.
O Given any fixed attendance, 37% of all of those games will have the predicted number of runs
scored.
O There is a large varlation in the runs scored in baseball games, but if you only look at games
with a fixed attendance, this varlation on average is reduced by 37%.
f. The equation of the linear regression line is:
T (Please show your answers to two decimal places)
g. Use the model to predict the runs scored at a game that has an attendance of 31,000 people.
Runs scored =
(Please round your answer to the nearest whole number.)
h. Interpret the slope of the regression line tin the context of the question:
O For every additional thousand people who attend a game, there tends to be an average
increase of 0.08 runs scored.
O The slope has no practical meaning since the total number runs scored in a game must be
positive.
O As x goes up, y goes up.
i. Interpret the y-intercept in the context of the question:
O The average runs scored is predicted to be 3.
O The best prediction for a game with 0 attendance is that there will be 3 runs scored.
O The y-intercept has no practical meaning for this study.
O If the attendance of a baseball game is 0, then 3 runs will be scored.

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