At the right is the computer output for a regression analysis involving starting salary (in $1,000) and college GPA. What is the equation for the least squares regression line? (A) GPA -0.734 +11.82(Salary) (B) Salary -0.734 +11.82(GPA) Variable Coef s.e. P Constant -0.73391 5.744 -0.128 0.9015 OPA 11.8204 1.040 6.4 0.0002 3.772 R-sq=83.5% R-sq(adj)=81.6% Source df SS MS F Regression 1581.790 501.798 40.9 Residual 8 113.802 14.2252 = (C) GPA 0.9015+ 0.0002(Salary) - (D) Salary 5.744 +1.848(GPA) (E) Salary 1.848 +11.82(GPA)
At the right is the computer output for a regression analysis involving starting salary (in $1,000) and college GPA. What is the equation for the least squares regression line? (A) GPA -0.734 +11.82(Salary) (B) Salary -0.734 +11.82(GPA) Variable Coef s.e. P Constant -0.73391 5.744 -0.128 0.9015 OPA 11.8204 1.040 6.4 0.0002 3.772 R-sq=83.5% R-sq(adj)=81.6% Source df SS MS F Regression 1581.790 501.798 40.9 Residual 8 113.802 14.2252 = (C) GPA 0.9015+ 0.0002(Salary) - (D) Salary 5.744 +1.848(GPA) (E) Salary 1.848 +11.82(GPA)
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3SE: What is regression analysis? Describe the process of performing regression analysis on a graphing...
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