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