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In the National Football League (NFL),having an Effective Passing Game

Question 28

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In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. From the computer output for the least-squares fit,the following results were given: In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. , In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 0.3786,and In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 4.001.Also,it was determined that In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 61.05%, In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 425.28, In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 11.865,and In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively,


A) In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 21.69 and In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 0.194.
B) In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 20.82 and In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 0.736.
C) In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 20.82 and In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 0.707.
D) In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 21.69 and In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 0.707.
E) In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 20.82 and In the National Football League (NFL) ,having an effective passing game is seen to be important in order to win games.The following information for the 32 NFL teams in the 2007 season concerns the points a team scores per game (Pts/Gm) and the percent of its passes that were completed (Pass%) .The ANOVA table is provided for the simple linear regression fit of Pts/Gm on Pass%.(Some entries have been omitted and replaced with **) . From the computer output for the least-squares fit,the following results were given: , = 0.3786,and = 4.001.Also,it was determined that = 61.05%, = 425.28, = 11.865,and = 0.194. For teams that complete 60% of their passes,the estimated mean Pts/Gm and the standard error of the estimate are,respectively, A) = 21.69 and = 0.194. B) = 20.82 and = 0.736. C) = 20.82 and = 0.707. D) = 21.69 and = 0.707. E) = 20.82 and = 0.194. = 0.194.

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