(a) Develep the estimated regression equation that could be used to predict the percentage of games wen given the average number of passing yards per attempt. (Round your numerical values to ene decimal place. Let represent Yds/Att and y represent Wint.) (b) Develop the estimated regression equation that could be used to predict the percentage of games wen given the number of interceptions thrown per attempt. (Round your numerical values to the nearest integer. Let, represent Int/Att. and y represent Wint.) (e) Develep the estimated regression equation that could be used to predict the percentage of games wen given the average number of passing yards per attempt and the number of interceptiens thrown per attempt. (Round yeur numerical values to the nearest integer. Let, represent Yds/Att, represent Int/Att. and y represent Wins.]
(a) Develep the estimated regression equation that could be used to predict the percentage of games wen given the average number of passing yards per attempt. (Round your numerical values to ene decimal place. Let represent Yds/Att and y represent Wint.) (b) Develop the estimated regression equation that could be used to predict the percentage of games wen given the number of interceptions thrown per attempt. (Round your numerical values to the nearest integer. Let, represent Int/Att. and y represent Wint.) (e) Develep the estimated regression equation that could be used to predict the percentage of games wen given the average number of passing yards per attempt and the number of interceptiens thrown per attempt. (Round yeur numerical values to the nearest integer. Let, represent Yds/Att, represent Int/Att. and y represent Wins.]
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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Topic Video
Question
q5
![(Int/Att), ana tne percentage or games won (Win%o) ror a random sampie or 16 NFL teams ror one ruii 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
(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 Win%.)
(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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F846a1c78-ea58-4624-9cf5-412b48970cdc%2F6b742d69-bbd3-49a6-857a-6046dab9cbb8%2Fug516j_processed.png&w=3840&q=75)
Transcribed Image Text:(Int/Att), ana tne percentage or games won (Win%o) ror a random sampie or 16 NFL teams ror one ruii 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
(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 Win%.)
(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.
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