A statistical program is recommended. The National Football League (NFL) records a variety of performance data for indiv

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answerhappygod
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A statistical program is recommended. The National Football League (NFL) records a variety of performance data for indiv

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A statistical program is recommended.
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
thrown per attempt (Int/Att), and the percentage of games won
(Win%) for a random sample of 16 NFL teams for one full season.
(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 x1 represent
Yds/Att and y represent Win%.)
ŷ =
(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 x2 represent
Int/Att, and y represent Win%.)
ŷ =
(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 x1 represent
Yds/Att, x2 represent Int/Att,
and y represent Win%.)
ŷ =
(d)
The average number of passing yards per attempt for a certain
team was 6.3 and the number of interceptions thrown per
attempt was 0.036. 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.
The predicted value is identical to the actual value.The
predicted value is higher than the actual
value. The predicted value is lower than the
actual value.
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