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