Is there a relationship between salary and team performance in baseball? For a recent season, a linear model fit to the number of Wins (out of 162 regular season games) from the team Salary ($M) for the 30 teams in a baseball league is ModifyingAbove Wins with caretequals65.31plus0.109 Salary. Complete parts a through h below.
a) What is the explanatory variable?
A. Salary, because the total salary is used to predict the number of wins
B. Salary, because the number of wins is used to predict the total salary
C. Wins, because the number of wins is used to predict the total salary
D. Wins, because the total salary is used to predict the number of wins

b) What is the response variable?
A. Salary, because the number of wins is determined from the total salary
B. Wins, because the total salary is determined from the number of wins
C. Wins, because the number of wins is determined from the total salary
D. Salary, because the total salary is determined from the number of wins

c) What does the slope mean in this context?

The explanatory variable is also known as independent variable. The given scenario indicates that the number of wins are independent variable and it is not effected by the salary. Thus, explanatory variable is number of wins, because the number of wins is used to predict the total salary.

b)

The response variable is also known as dependent variable. The given scenario indicates that the salary is dependent variable and it is effected by the number of wins. Thus, response variable is salary, because the total salary is determined from the number of wins.

c)

The slope depicts the change in dependent variable due to unit change in independent variable. In the given scenario the slope will be change in salary due to unit change in number of wins.