Attendance per Game 000 45,000 40,000 35,000- 30,000- 25,000- 20,000- 15,000+ 60 60 5. The following...

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Attendance per Game 000 45,000 40,000 35,000- 30,000- 25,000- 20,000- 15,000+ 60 60 5. The following scatterplot shows the number of wins and the attendance per game for 30 baseball teams in 2017. Also shown are the least-squares regression line and computer output. 70 80 g. 90 100 Number of Wins Term Coef Constant 10834 Wins 235 SE Coef 9716 119 T-Value P-Value 1.12 1.98 0.274 0.058 S = 7,377 R-sq=12.29% Adj R-sq= 9.16% a. Interpret the slope of the least squares regression line in context. For every win, The predicted littendance per game increases by 235. b. Explain why it is not reasonable to use the least squares regression model to predict the attendance per game-for 0 wins. It is not rezisonable because c. What is the value of the correlation coefficient for the sample? R=12.29=.1229 R=7.1229=0.351 d. If the point representing 64 wins and attendance of 40,786 people per games is removed from the set of data and a new regression analysis is conducted, how would the following be impacted? Explain your reasoning. i. The slope of the least-squares line: the slope would ii. The correlation coefficient: Attendance per Game 000 45,000 40,000 35,000- 30,000- 25,000- 20,000- 15,000+ 60 60 5. The following scatterplot shows the number of wins and the attendance per game for 30 baseball teams in 2017. Also shown are the least-squares regression line and computer output. 70 80 g. 90 100 Number of Wins Term Coef Constant 10834 Wins 235 SE Coef 9716 119 T-Value P-Value 1.12 1.98 0.274 0.058 S = 7,377 R-sq=12.29% Adj R-sq= 9.16% a. Interpret the slope of the least squares regression line in context. For every win, The predicted littendance per game increases by 235. b. Explain why it is not reasonable to use the least squares regression model to predict the attendance per game-for 0 wins. It is not rezisonable because c. What is the value of the correlation coefficient for the sample? R=12.29=.1229 R=7.1229=0.351 d. If the point representing 64 wins and attendance of 40,786 people per games is removed from the set of data and a new regression analysis is conducted, how would the following be impacted? Explain your reasoning. i. The slope of the least-squares line: the slope would ii. The correlation coefficient: