At the right is the computer outputfor a regression analysis involvingstarting salary (in $1,000) andcollege GPA.VariableCoefs.e.Constant-0.73391 5.744 -0.128 0.9015GPA11.82041.8486.40.0002S3.772 R-sq 83.6% R-sq(adj) 81.6%SourceSSWhat is the equation for the leastsquares regression line?dfMSRegression581.798 581.798 40.9Residual8.113.802 14.2252(A) GPA - -0.734 + 11.82(Salary)(D) Salary 5.744 + 1.848(GPA)%3!%3D(B) Salary -0.734 + 11.82(GPA)(E) Salary 1.848 + 11.82(GPA)(C) GPA - 0.9015 + 0.0002(Salary)

Regression analysis is used to predict the response variable based on the predictor variable.

At the right is the computer output for a regression analysis involving starting salary (in $1,000) and college GPA. Variable Coef s.e. Constant -0.73391 5.744 -0.128 0.90 15 GPA 11.8204 1.848 6.4 0.0002 S 3.772 R-sq 83.6% R-sq(adj) 81.6% What is the equation for the least Source df SS MS F Regression Residual 8. 581.798 581.798 40.9 squares regression line? 113.802 14.2252 (A) GPA - -0.734 + 11.82(Salary) (D) Salary 5.744 + 1.848(GPA) (B) Salary -0.734 + 11.82(GPA) (E) Salary-1.848 + 11.82(GPA) (C) GPA 0.9015 +0.0002(Salary) %3D

At the right is the computer output for a regression analysis involving starting salary (in $1,000) and college GPA. Variable Coef s.e. Constant -0.73391 5.744 -0.128 0.90 15 GPA 11.8204 1.848 6.4 0.0002 S 3.772 R-sq 83.6% R-sq(adj) 81.6% What is the equation for the least Source df SS MS F Regression Residual 8. 581.798 581.798 40.9 squares regression line? 113.802 14.2252 (A) GPA - -0.734 + 11.82(Salary) (D) Salary 5.744 + 1.848(GPA) (B) Salary -0.734 + 11.82(GPA) (E) Salary-1.848 + 11.82(GPA) (C) GPA 0.9015 +0.0002(Salary) %3D

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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