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As in Most Professional Sports,statistics Are Collected in the National

Question 45

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As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. From the computer output for the least-squares fit,the estimated equation was found to be , = 0.398,and = 60.29.Also,it was determined from the output that = 12.800 and = 4.418.What would the approximate 96% confidence interval be for the true slope ? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.154(4.418) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ± 2.154 (12.800) From the computer output for the least-squares fit,the estimated equation was found to be As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. From the computer output for the least-squares fit,the estimated equation was found to be , = 0.398,and = 60.29.Also,it was determined from the output that = 12.800 and = 4.418.What would the approximate 96% confidence interval be for the true slope ? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.154(4.418) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ± 2.154 (12.800) , As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. From the computer output for the least-squares fit,the estimated equation was found to be , = 0.398,and = 60.29.Also,it was determined from the output that = 12.800 and = 4.418.What would the approximate 96% confidence interval be for the true slope ? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.154(4.418) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ± 2.154 (12.800) = 0.398,and As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. From the computer output for the least-squares fit,the estimated equation was found to be , = 0.398,and = 60.29.Also,it was determined from the output that = 12.800 and = 4.418.What would the approximate 96% confidence interval be for the true slope ? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.154(4.418) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ± 2.154 (12.800) = 60.29.Also,it was determined from the output that As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. From the computer output for the least-squares fit,the estimated equation was found to be , = 0.398,and = 60.29.Also,it was determined from the output that = 12.800 and = 4.418.What would the approximate 96% confidence interval be for the true slope ? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.154(4.418) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ± 2.154 (12.800) = 12.800 and As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. From the computer output for the least-squares fit,the estimated equation was found to be , = 0.398,and = 60.29.Also,it was determined from the output that = 12.800 and = 4.418.What would the approximate 96% confidence interval be for the true slope ? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.154(4.418) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ± 2.154 (12.800) = 4.418.What would the approximate 96% confidence interval be for the true slope As in most professional sports,statistics are collected in the National Hockey League.In the 2006-2007 season,teams played 82 games.A team was awarded 2 points for a win and 1 point if the game was tied at the end of regulation time but then lost in overtime.For each of the 30 teams,data on the number of goals scored per game (Goals/G) and the percentage of the 164 possible points they won (Win%) during the season were collected.The following graph shows the plotted points for the variables Win% and Goals/G and the simple linear regression line fitted using least squares. From the computer output for the least-squares fit,the estimated equation was found to be , = 0.398,and = 60.29.Also,it was determined from the output that = 12.800 and = 4.418.What would the approximate 96% confidence interval be for the true slope ? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.154(4.418) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ± 2.154 (12.800) ?


A) 19.022 ± 2.054(12.800)
B) 19.022 ± 2.154(4.418)
C) 0.932 ± 2.154(12.800)
D) 19.022 ± 2.054(4.418)
E) 0.932 ± 2.154 (12.800)

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