hat is the relationship between the attendance at a major league ball game and the total number of runs Attendance figures (in thousands) and the runs scored for 12 randomly selected games are shown pred? ow. Attendance Runs 19 35 29 37 59 25 30 8 10 10 14 5 4 51 19 34 56 13 379 3 8 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho:?V=0 H₁: ? #0 The p-value is: Round to 2 decimal places. (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that there is a correlation between the attendance of baseball games and the runs scored. Thus, the regression line is useful. There is statistically significant evidence to conclude that a game with higher attendance will have fewer runs scored than a game with lower attendance. There is statistically significant evidence to conclude that a game with a higher attendance will have more runs scored than a game with lower attendance. d. The equation of the linear regression line is: ŷ= There is statistically insignificant evidence to conclude that there is a correlation between the attendance of baseball games and the runs scored. Thus, the use of the regression line is not appropriate. (Please show your answers to two decimal places) e. Use the model to predict the runs scored at a game that has an attendance of 6 thousand people. Runs scored - (Please round to two decimal places.) f. Interpret the slope of the regression line in the context of the question: