In: Statistics and Probability
The following data are the monthly salaries y and the
grade point averages xfor students who obtained a
bachelor's degree in business administration.
GPA | Monthly Salary ($) |
2.6 | 3,600 |
3.5 | 3,800 |
3.6 | 4,300 |
3.1 | 3,800 |
3.4 | 4,200 |
3 | 2,200 |
The estimated regression equation for these data is = 358.6 + 1,028.6x and MSE =533,607. Use Table 1 of Appendix B.
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:
Hence,
a) Point estimate = $ 3444.3
b) 95% confidence interval:
$ (2484.80, 4403.77)
c) 95% prediction interval:
$ (1200.63, 5687.94)