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appropriate appendix table or technology sanb sun JAMSU 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. Monthly Salary ($) GPA 2.6 3,600 3.4 3,900 3.6 4,300 3.2 3,800 3.5 4,300 2.9 3,900 The estimated regression equation for these data is ŷ = 1,977.48 + 621.62x and MSE = 26,846.85. (a) Develop a point estimate of the starting salary (in dollars) for a student with a GPA of 3.0. (Round your answer to the nearest cent). (b) Develop a 95% confidence interval for the mean starting salary (in dollars) for all students with a 3.0 GPA. (Round your answers to the nearest cent). to $ (c) Develop a 95% prediction interval (in dollars) for Ryan Dailey, a student with a GPA of 3.0. (Round your answers to the nearest cent). to $

appropriate appendix table or technology sanb sun JAMSU 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. Monthly Salary ($) GPA 2.6 3,600 3.4 3,900 3.6 4,300 3.2 3,800 3.5 4,300 2.9 3,900 The estimated regression equation for these data is ŷ = 1,977.48 + 621.62x and MSE = 26,846.85. (a) Develop a point estimate of the starting salary (in dollars) for a student with a GPA of 3.0. (Round your answer to the nearest cent). (b) Develop a 95% confidence interval for the mean starting salary (in dollars) for all students with a 3.0 GPA. (Round your answers to the nearest cent). to $ (c) Develop a 95% prediction interval (in dollars) for Ryan Dailey, a student with a GPA of 3.0. (Round your answers to the nearest cent). to $

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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You may need to use the appropriate appendix table or technology to answer this question. 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. Monthly Salary ($) GPA 2.6 3,600 3.4 3,900 3.6 4,300 3.2 3,800 3.5 4,300 2.9 3,900 The estimated regression equation for these data is ŷ = 1,977.48 + 621.62x and MSE = 26,846.85. (a) Develop a point estimate of the starting salary (in dollars) for a student with a GPA of 3.0. (Round your answer to the nearest cent). 2$ (b) Develop a 95% confidence interval for the mean starting salary (in dollars) for all students with a 3.0 GPA. (Round your answers to the nearest cent). $ to $ (c) Develop a 95% prediction interval (in dollars) for Ryan Dailey, a student with a GPA of 3.0. (Round your answers to the nearest cent). $ to $
Transcribed Image Text:You may need to use the appropriate appendix table or technology to answer this question. 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. Monthly Salary ($) GPA 2.6 3,600 3.4 3,900 3.6 4,300 3.2 3,800 3.5 4,300 2.9 3,900 The estimated regression equation for these data is ŷ = 1,977.48 + 621.62x and MSE = 26,846.85. (a) Develop a point estimate of the starting salary (in dollars) for a student with a GPA of 3.0. (Round your answer to the nearest cent). 2$ (b) Develop a 95% confidence interval for the mean starting salary (in dollars) for all students with a 3.0 GPA. (Round your answers to the nearest cent). $ to $ (c) Develop a 95% prediction interval (in dollars) for Ryan Dailey, a student with a GPA of 3.0. (Round your answers to the nearest cent). $ to $
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