The predicted mean roster salary for a team that won 10 games last year is $102.52 million.
The regression model relating team wins in the previous season (x) to team roster salary (y, in millions of dollars) is given as:
y=1.24x+90.12
To predict the mean roster salary for a team that won 10 games last year, we can substitute x = 10 into the regression model and solve for y:
y=1.24(10)+90.12
y=12.4+90.12
y=102.52
Therefore, the predicted mean roster salary for a team that won 10 games last year is $102.52 million.