Question

# The following data are the monthly salaries y and the grade point averages x for students...

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 3.1 3,800 3.5 4,200 3 2,300

The estimated regression equation for these data is ŷ = 84.3 + 1,114.3x and MSE =416,464.

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).
\$ ( , )

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a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal).
\$3,427.1

b. Develop a 95% confidence interval for the mean starting salary for all students with a 3.0 GPA (to 2 decimals).
\$ (2,579.49 , 4,274.79)

c. Develop a 95% prediction interval for Ryan Dailey, a student with a GPA of 3.0 (to 2 decimals).
\$ (1,445.00 , 5,409.29 )

 Predicted values for: Monthly Salary (\$) 95% Confidence Interval 95% Prediction Interval GPA Predicted lower upper lower upper 3 3,427.1 2,579.49 4,274.79 1,445.00 5,409.29