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 = 
Yes they are right. 2+784
1/32 its pretty simple come on man
Area of square = atleast 36 = length *width, where l = w (since it's a square)
If A=36, l = w = 6
If A = 37, l = w = 6.08
if A =38, l = w = 6.16
So the solution set is s => 6 (s is bigger than or equal to 6)