a) What is the explanatory variable? The explanatory variable is Salary. Part 2 b) What is the response variable? The response variable is Wins. Part 3 c) What does the slope mean in this context? In this league, team win totals are, on average, about 0.073 win(s) higher for every million dash dollar increase in total team salary. (Type an integer or a decimal. Do not round.) Part 4 d) What does the y-intercept mean in this context? Is it meaningful? The y-intercept is the average win total of a team in this league whose team salary is 0 dollar(s). This is not meaningful because it is unrealistic. (Type an integer or a decimal. Do not round.) Part 5 e) If one team spends $10 million more than another on salary, how many more games on average would the first team be predicted to win? It would be predicted to win 0.73 more game(s) on average. (Type an integer or a decimal. Do not round.) Part 6 f) The Dallas Cowboys spent $137 million on salaries and won 13 games. Did they do better or worse than predicted? This team would be predicted to win 7.63 game(s), so they did better than predicted. (Type an integer or a decimal. Do not round.)