Answer:
X is the GPA
Y is the Salary
Standard deviation of X is 0.4
Standard deviation of Y is 8500
E(X)=2.9
E(Y)=47200
We are given that The correlation between the two variables was r = 0.72
a)


So, slope = 15300
Intercept = 2830
So, equation : 
b) Your brother just graduated from that college with a GPA of 3.30. He tells you that based on this model the residual for his pay is -$1880. What salary is he earning?

Observed salary = Residual + predicted = -1860+53320 = 51440
c)) What proportion of the variation in salaries is explained by variation in GPA?
The proportion of the variation in salaries is explained by variation in GPA = 
Answer:
You got it! ill do it now
Step-by-step explanation:
The number is assumed to be x
x of 40% = 56
x * (40/100) = 56
x = 5600 / 40
x = 140
Take the amount of rows in the auditorium, 15, and multiply that by the number of new seats in each row, 3. You get 45. Now multiply the number of new seats, 45, by the cost of each seat, $74. You get $3,330.