1. What is the prediction equation for Printout 3?

What is the prediction equation for Printout 3?

(E)y = 59.97 + 0.34x₁ + 4.32x₂

y = 59.97 + 0.34x₁+ 4.32x₂

(E)y = 0.34x₁+ 4.32x₂

(E)y = 923.240 + 0.34x₁+ 4.32x₂

2. Which of the following is a true statement regarding the model depicted in Printout 3?

Which of the following is a true statement regarding the model depicted in Printout 3?

It has the highest R-squared value of any of the models, so it is the best-fitting model.

The regression model including salary and supervisor feedback is the superior model according to the practical fit indices.

97.82% of the variation in employee job satisfaction can be explained by the regression model that includes salary and supervisor feedback.

It indicates that there is not always a positive relationship between salary and job satisfaction.

Exam 2 Printout 3 Least Squares Linear Regression of JobSat Predictor Variables Coefficient Std Error T P VIF Constant 59. 9650 3. 95524 15. 16 0. 0000 0.0 SupFabk 0. 33945 0 . 08519 3.98 0 . 0040 4.2 Salary 4. 322E-04 7. 811E-05 5.53 0 . 0006 4.2 0. 9782 Mean Square Error (MSE) 7. 67281 Adjusted R- 0. 9728 Standard Deviation 2. 76998 AICC 33.578 PRESS 128.37 Source DF SS MS F P Regression 2 2756.80 1378 . 40 179 . 65 0 . 0000 Residual 8 61.38 7. 67281 Total 10 2818 . 18 Cases Included 11 Missing Cases 0