3. (19pts) A portion of the regression output for an application relating maintenance expense (dollars per month) to usa

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3. (19pts) A portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal follows. In a completely randomized design, 10 experimental units were used. Regression Statistics Multiple R R Square Standard Error Observations ANOVA df SS MS F Significance F 1575.76 Regression Residual Total 1924.90

Coefficients 1 Star Standard Error 0.9361 P-value Lower 95% Upper 95% 6.1092 Intercept Usage 0.8951 a. Complete the above tables.

4. (20pts) 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 (8) 3600 2.6 3.4 3900 3.6 4300 3.2 3800 3.5 4200 2.9 3900 The estimated regression equation for these data is 9 = 2090.5 + 581.1x, and MSE-21,284. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0. b. Develop a 95% confidence interval for the mean starting salary for all students with a 3.0 GPA. c. Develop a 95% prediction interval for Ryan Dailey, a student with a GPA of 3.0. d. Discuss the differences in your answers to parts (b) and (c).