The following data are the monthly salaries y and the
grade point averages x for students who obtained a
bachelor's degree in business administration.
GPA | Monthly Salary ($) |
2.6 | 3,500 |
3.4 | 3,900 |
3.6 | 4,200 |
3.2 | 3,700 |
3.4 | 4,100 |
3 | 2,500 |
The estimated regression equation for these data is = 250 + 1,062.5x and MSE =298,125.
a. Develop a point estimate of the starting
salary for a student with a GPA of 3.0 (to 1 decimal).
$
b. Develop a 95% confidence interval for the
mean starting salary for all students with a 3.0 GPA (to 2
decimals).
$ ( , )
c. Develop a 95% prediction interval for Ryan
Dailey, a student with a GPA of 3.0 (to 2 decimals).
$ ( , )
The statistical software output for this problem is :
a)
Point estimate = 3437.5
b)
$ (2711.79 , 4163.21)
(c)
$ (1756.79 , 5118.21)
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