Just #15

O Screen Shot 2021-10-28 at 7.23.33 PM usflearn.instructure.com/courses/1598540/external_tools/retrieve?display=full_ Q Search Least Squares Linear Regression of JobSat Predictor 15 2 points Variables Coefficient Std Error T P How is the R2 fit index for Printout 1 calculated? Constant 68.8957 5.30842 12.98 0.0000 Salary 7.041E-04 6.189E-05 11.38 0.0000 It is the correlation between salary and job satisfaction squared It is the correlation between the variables but slightly inflated 0.9350 Mean Square Error (MSE) 20.3573 O It is similar to standard deviation but will be slightly inflated Adjusted R 0.9278 Standard Deviation 4.51191 It is the standard deviation squared AICC 40.369 2 PRESS 344.57 16 2 points Source DF SS MS F 3 What is the interpretation of the coefficient for salary in Printout 5? Regression 1 2634.9 2634.9 129.44 0.0000 O For every one-minute increase in supervisor feedback, we expect Residual 9 183.22 20.3573 4 Total 10 2818.18 For every $59.73 increase in salary, we expect job satisfaction to O We should not interpret this beta Cases Included 11 Missing Cases 0 O We should not interpret this beta because the interaction term is not useful