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a. When no information for GPA is given, the estimate of salary is = b. In the given data how much is the estimated error when the GPA is 2.9? c. If Jim has a perfect GPA (4.0), how much salary can he expect? d. If Jack increases his GPA by 1.0, how much more salary can he expect?

a. When no information for GPA is given, the estimate of salary is = b. In the given data how much is the estimated error when the GPA is 2.9? c. If Jim has a perfect GPA (4.0), how much salary can he expect? d. If Jack increases his GPA by 1.0, how much more salary can he expect?

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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5. The following data show salaries y and the grade point averages z for students who obtained a bachelor's degree in Economics. The estimated regression equation for these data is ý = 1790.5 + 581.1x. [Show steps when applicable] ₁2.6 3.4 3.6 3.2 3.5 2.9 Yi 3300 3600 4000 3500 3900 3600 a. When no information for GPA is given, the estimate of salary is = b. In the given data how much is the estimated error when the GPA is 2.9? c. If Jim has a perfect GPA (4.0), how much salary can he expect? d. If Jack increases his GPA by 1.0, how much more salary can he expect?
Transcribed Image Text:5. The following data show salaries y and the grade point averages z for students who obtained a bachelor's degree in Economics. The estimated regression equation for these data is ý = 1790.5 + 581.1x. [Show steps when applicable] ₁2.6 3.4 3.6 3.2 3.5 2.9 Yi 3300 3600 4000 3500 3900 3600 a. When no information for GPA is given, the estimate of salary is = b. In the given data how much is the estimated error when the GPA is 2.9? c. If Jim has a perfect GPA (4.0), how much salary can he expect? d. If Jack increases his GPA by 1.0, how much more salary can he expect?
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