Earlier we investigated the relationship between x = payroll (in millions of dollars) and y = number of wins for Major League Ba
seball teams in 2016. Given is a scatterplot of the data, along with the regression line y^ = 60.7 + 0.139x . Interpret the slope of the regression line.
x = payroll (in millions of dollars) and y = number of wins for Major League Baseball teams in 2016.
From the general regression equation:
y = mx + c
Where m = slope of regression line.
The slope (m) of the equation given is 0.139
The slope could be interpreted as ; for every per unit change in y (every win a major league baseball team has in 2016), the payroll in million dollar increases by a product of 0.139
