Homework Help is Here – Start Your Trial Now!
Math
Statistics
a. Givé a practical interpretation of the coefficient of determination, r. Choose the correct answer below. O A. There is little or no relationship bėtween numbers of yards to the opposing goal line and numbers of points scored because 0.26 is near to zero. O B. Šample variations in the numbers of yards to the opposing goal line explain 26% of the sample variation in the numbers of points scored using the least squares line. O C. There is a positive linear relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is positive. O D. Sample variations in the numbers of yards to the opposing goal line explain 74% of the sample variation in the numbers of points scored using the least squares line. b. Compute the value of the coefficient of correlation, r, from the value of . Is the value of r positive or negative? Why? Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. The coefficient of correlation, r= is negative because the estimator of OB. The coefficient of correlation, r= is positive because the estimator of B, is positive. B, is negative. O C. The coefficient of correlation. r= is negative because the estimator of O D. The coefficient of correlation. r= is positive because the estimator of

a. Givé a practical interpretation of the coefficient of determination, r. Choose the correct answer below. O A. There is little or no relationship bėtween numbers of yards to the opposing goal line and numbers of points scored because 0.26 is near to zero. O B. Šample variations in the numbers of yards to the opposing goal line explain 26% of the sample variation in the numbers of points scored using the least squares line. O C. There is a positive linear relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is positive. O D. Sample variations in the numbers of yards to the opposing goal line explain 74% of the sample variation in the numbers of points scored using the least squares line. b. Compute the value of the coefficient of correlation, r, from the value of . Is the value of r positive or negative? Why? Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. The coefficient of correlation, r= is negative because the estimator of OB. The coefficient of correlation, r= is positive because the estimator of B, is positive. B, is negative. O C. The coefficient of correlation. r= is negative because the estimator of O D. The coefficient of correlation. r= is positive because the estimator of

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
See similar textbooks
icon
Related questions
Question

Please answer both parts 

Each week coaches in a certain football league face a decision during the game. On fourth-down, should the team punt the ball or go for a first-down? To aid in the decision-making process, statisticians at a particular university developed a regression model for predicting the number of points scored (y) by a team that has a first-down with a given number of yards (x) from the opposing goal line. One of the models fit to data collected on five league teams from a recent season was the simple linear regression model, E(y) = Bo + B, x. The regression yielded the following results: y = 4.74 - 0.54x, = 0.26. Complete parts a and b below. %3D a. Give a practical interpretation of the coefficient of determination, r. Choose the correct answer below. A. There is little or no relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is near to zero. B. Sample variations in the numbers of yards to the opposing goal line explain 26% of the sample variation in the numbers of points scored using the least squares line. C. There is a positive linear relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is positive. D. Sample variations in the numbers of yards to the opposing goal line explain 74% of the sample variation in the numbers of points scored using the least squares line. b. Compute the value of the coefficient of correlation, r, from the value ofr. Is the value of r positive or negative? Why? Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. The coefficient of correlation, r= is negative because the estimator of OB. The coefficient of correlation, r= is positive because the estimator of B, is positive. B, is negative. C. The coefficient of correlation, r= is negative because the estimator of O D. The coefficient of correlation. r= is positive because the estimator of
Transcribed Image Text:Each week coaches in a certain football league face a decision during the game. On fourth-down, should the team punt the ball or go for a first-down? To aid in the decision-making process, statisticians at a particular university developed a regression model for predicting the number of points scored (y) by a team that has a first-down with a given number of yards (x) from the opposing goal line. One of the models fit to data collected on five league teams from a recent season was the simple linear regression model, E(y) = Bo + B, x. The regression yielded the following results: y = 4.74 - 0.54x, = 0.26. Complete parts a and b below. %3D a. Give a practical interpretation of the coefficient of determination, r. Choose the correct answer below. A. There is little or no relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is near to zero. B. Sample variations in the numbers of yards to the opposing goal line explain 26% of the sample variation in the numbers of points scored using the least squares line. C. There is a positive linear relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is positive. D. Sample variations in the numbers of yards to the opposing goal line explain 74% of the sample variation in the numbers of points scored using the least squares line. b. Compute the value of the coefficient of correlation, r, from the value ofr. Is the value of r positive or negative? Why? Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. The coefficient of correlation, r= is negative because the estimator of OB. The coefficient of correlation, r= is positive because the estimator of B, is positive. B, is negative. C. The coefficient of correlation, r= is negative because the estimator of O D. The coefficient of correlation. r= is positive because the estimator of
Each week coaches in a certain football league face a decision during the game. On fourth-down, should the team punt the ball or go for a first-down? To aid in decision-making process, statisticians at a particular university developed a regression model for predicting the number of points scored (y) by a team that has a first-down with a given number of yards (x) from the opposing goal line. One of the models fit to data collected on five league teams from a recent season was th simple linear regression model, E(y) = Bo + B, x. The regression yielded the following results: y = 4.74-0.54x, r =0.26. Complete parts a and b below. 2 A. There is little or no relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is near to zero. B. Sample variations in the numbers of yards to the opposing goal line explain 26% of the sample variation in the numbers of points scored using the least squares line. C. There is a positive linear relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is positive. D. Sample variations in the numbers of yards to the opposing goal line explain 74% of the sample variation in the numbers of points scored using the least squares line. b. Compute the value of the coefficient of correlation, r, from the value of r. Is the value of r positive or negative? Why? Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. The coefficient of correlation, r= is negative because the estimator of O B. The coefficient of correlation, r= is positive because the estimator of B, is positive. B, is negative. nte O C. The coefficient of correlation, r= is negative because the estimator of O D. The coefficient of correlation, r= is positive because the estimator of B, is negative. B, is positive. 1 N Cliels te
Transcribed Image Text:Each week coaches in a certain football league face a decision during the game. On fourth-down, should the team punt the ball or go for a first-down? To aid in decision-making process, statisticians at a particular university developed a regression model for predicting the number of points scored (y) by a team that has a first-down with a given number of yards (x) from the opposing goal line. One of the models fit to data collected on five league teams from a recent season was th simple linear regression model, E(y) = Bo + B, x. The regression yielded the following results: y = 4.74-0.54x, r =0.26. Complete parts a and b below. 2 A. There is little or no relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is near to zero. B. Sample variations in the numbers of yards to the opposing goal line explain 26% of the sample variation in the numbers of points scored using the least squares line. C. There is a positive linear relationship between numbers of yards to the opposing goal line and numbers of points scored because 0.26 is positive. D. Sample variations in the numbers of yards to the opposing goal line explain 74% of the sample variation in the numbers of points scored using the least squares line. b. Compute the value of the coefficient of correlation, r, from the value of r. Is the value of r positive or negative? Why? Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. The coefficient of correlation, r= is negative because the estimator of O B. The coefficient of correlation, r= is positive because the estimator of B, is positive. B, is negative. nte O C. The coefficient of correlation, r= is negative because the estimator of O D. The coefficient of correlation, r= is positive because the estimator of B, is negative. B, is positive. 1 N Cliels te
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Inequality
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.
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
SEE MORE TEXTBOOKS