(a) Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt. (Round your numerical values to one decimal place. Let x, represent Yds/Att and y represent Win.) (b) Develop the estimated regression equation that could be used to predict the percentage of games won given the number of interceptions thrown per attempt. (Round your numerical values to the nearest integer. Let x, represent Int/Att, and y represent Wint.) (e) Develop the estimated regression equation that could be used to predict the percentage games won given the average number of passing yards per attempt and the number of interceptions thrown per attempt. (Round your numenical values to the nearest integer. Let x, represent Yds/Att, x represent Int/Att, and y represent Wint.) (d) The average number of passing yards per attempt for a certain team was 6.1 and the number of interceptions thrown per attempt was 0.038. Use the estimated regression equation developed in part (e) to predict the percentage of games won by the team. (Round your answer to one decimal place.) For this season the team's record was 7 wins and 9 losses. Compare your prediction to the actual percentage of games won by the team. O The predicted value is lower than the actual value. O The predicted value is higher than the actual value. O The predicted value is identical to the actual value.
(a) Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt. (Round your numerical values to one decimal place. Let x, represent Yds/Att and y represent Win.) (b) Develop the estimated regression equation that could be used to predict the percentage of games won given the number of interceptions thrown per attempt. (Round your numerical values to the nearest integer. Let x, represent Int/Att, and y represent Wint.) (e) Develop the estimated regression equation that could be used to predict the percentage games won given the average number of passing yards per attempt and the number of interceptions thrown per attempt. (Round your numenical values to the nearest integer. Let x, represent Yds/Att, x represent Int/Att, and y represent Wint.) (d) The average number of passing yards per attempt for a certain team was 6.1 and the number of interceptions thrown per attempt was 0.038. Use the estimated regression equation developed in part (e) to predict the percentage of games won by the team. (Round your answer to one decimal place.) For this season the team's record was 7 wins and 9 losses. Compare your prediction to the actual percentage of games won by the team. O The predicted value is lower than the actual value. O The predicted value is higher than the actual value. O The predicted value is identical to the actual value.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Concept explainers
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
Transcribed Image Text:The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the conference (Conf), average number of passing yards per attempt (Yds/Att), the number of interceptions throw
attempt (Int/Att), and the percentage of games won (Win%) for a random sample of 16 NFL teams for one full season.
Team
Conf Yds/Att Int/Att win%
Arizona Cardinals
NFC
6.5
0.042
50.0
Atlanta Falcons
NFC
7.1
0.022
62.5
Carolina Panthers
NFC
7.4
0.033
37.5
Cincinnati Bengals
AFC
6.2
0.026
56.3
Detroit Lions
NFC
7.2
0.024
62.5
Green Bay Packers
NFC
8.9
0.014
93.8
Houstan Texans
AFC
7.5
0.019
62.5
Indianapolis Colts
AFC
5.6
0.026
12.5
Jacksonville Jaguars
AFC
4.6
0.032
31.3
Minnesota Vikings
NFC
5.8
0.033
18.8
New England Patriots
AFC
8.3
0.020
81.3
New Orleans Saints
NFC
8.1
0.021
81.3
Oakland Raiders
AFC
7.6
0.044
50.0
San Francisco 49ers
NFC
6.5
0.011
81.3
Tennessee Titans
AFC
6.7
0.024
56.3
Washington Redskins
NFC
6.4
0.041
31.3
Transcribed Image Text:(a) Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt. (Round your numerical values to one decimal place. Let x, represent Yds/Att and y represent Win%.)
シ=
(b) Develop the estimated regression equation that could be used to predict the percentage of games won given the number of interceptions thrown per attempt. (Round your numerical values to the nearest integer. Let x, represent Int/Att, and y represent Win%.)
シ=
(c) Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt and the number of interceptions thrown per attempt. (Round your numerical values to the nearest integer. Let x, represent Yds/Att, x., represent Int/Att, and y
represent Win%.)
(d) The average number of passing yards per attempt for a certain team was 6.1 and the number of interceptions thrown per attempt was 0.038. Use the estimated regression equation developed in part (c) to predict the percentage of games won by the team. (Round your answer to one decimal place.)
%
For this season the team's record was 7 wins and 9 losses. Compare your prediction to the actual percentage of games won by the team.
O The predicted value is lower than the actual value.
O The predicted value is higher than the actual value.
O The predicted value is identical to the actual value.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 4 images
Knowledge Booster
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
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman