The academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. A simple linear regression of Salary ($)versus GMAT using the 25 data points are shown below.

Salary=-92040+228GMAT,r²=0.66r=0.81

For the situation above,give a practical interpretation ofr=0.81.

A: We estimate SALARY to increase 81% for every 1-point increase in GMAT.

B: 81% of the sample variation in SALARY can be explained by using GMAT in a linear model.

C: We can predict SALARY correctly 81% of the time using GMAT in a linear model.

D: There appears to be that as GMAT score increases the SALARY tends to increase as well and they are strongly correlated.