What is the relationship between the attendance at a major league ball game and the total number of runs scored? Attendance figures (in thousands) and the runs scored for 8 randomly selected games are shown below.   Attendance 24 44 35 60 56 42 27 31 Runs 5 9 6 12 16 13 8 12   Find the correlation coefficient:  r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:H0: ? μ ρ r  == 0 H1:H1: ? ρ r μ   ≠≠ 0     The p-value is:    (Round to four decimal places)  r2r2 =  (Round to two decimal places)  (Round to two decimal places)  Interpret r2r2 :   There is a 51% chance that the regression line will be a good predictor for the runs scored based on the attendance of the game. Given any fixed attendance, 51% of all of those games will have the predicted number of runs scored. There is a large variation in the runs scored in baseball games, but if you only look at games with a fixed attendance, this variation on average is reduced by 51%. 51% of all games will have the average number of runs scored. The equation of the linear regression line is:    ˆyy^ =  + xx   (Please show your answers to two decimal places)   Use the model to predict the runs scored at a game that has an attendance of 26,000 people. Runs scored =  (Please round your answer to the nearest whole number.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2BGP
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What is the relationship between the attendance at a major league ball game and the total number of runs scored? Attendance figures (in thousands) and the runs scored for 8 randomly selected games are shown below.

 

Attendance 24 44 35 60 56 42 27 31
Runs 5 9 6 12 16 13 8 12

 

  1. Find the correlation coefficient:  r=r=    Round to 2 decimal places.
  2. The null and alternative hypotheses for correlation are:
    H0:H0: ? μ ρ r  == 0
    H1:H1: ? ρ r μ   ≠≠ 0    
    The p-value is:    (Round to four decimal places)
  1.  r2r2 =  (Round to two decimal places)  (Round to two decimal places)
  2.  Interpret r2r2 :  
    • There is a 51% chance that the regression line will be a good predictor for the runs scored based on the attendance of the game.
    • Given any fixed attendance, 51% of all of those games will have the predicted number of runs scored.
    • There is a large variation in the runs scored in baseball games, but if you only look at games with a fixed attendance, this variation on average is reduced by 51%.
    • 51% of all games will have the average number of runs scored.
    1. The equation of the linear regression line is:   
      ˆyy^ =  + xx   (Please show your answers to two decimal places)  

    2. Use the model to predict the runs scored at a game that has an attendance of 26,000 people.
      Runs scored =  (Please round your answer to the nearest whole number.)  
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