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The human resources manager of a certain company is concerned about the level of employee absenteeism. He identified three factors which he believes are the most significant contributors to employee absenteeism at the company: X = the length of job tenure of an employee (measured in months) X2 = the level of job-satisfaction (measured by an index from 0 to 75) www X3 = the level of an employee's commitment (measured by an index from 0 to 70) www random sample of 20 employee records selected and the model was E(v) = Bo + B+ Bx + B3x3 was fitted to the sample data. The results are given in the SAS printout on page 7. Using the values of the standardized residuals on the printout how to I identify any outliers.

The human resources manager of a certain company is concerned about the level of employee absenteeism. He identified three factors which he believes are the most significant contributors to employee absenteeism at the company: X = the length of job tenure of an employee (measured in months) X2 = the level of job-satisfaction (measured by an index from 0 to 75) www X3 = the level of an employee's commitment (measured by an index from 0 to 70) www random sample of 20 employee records selected and the model was E(v) = Bo + B+ Bx + B3x3 was fitted to the sample data. The results are given in the SAS printout on page 7. Using the values of the standardized residuals on the printout how to I identify any outliers.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...
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70% 08:13 4G Exam preps - Saved 目 SAS PRINTOUT: Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F M Model 3 327.30 109.10 7.118 0.0029 Error 16 245.25 15.33 C Total 19 572.55 Root MSE 3.915 R-square 0.572 Dep Mean 17.62 Adj R-sq 0.491 C.V. 12.89728 Parameter Estimates Parameter Standard т for HO: Variable DF Estimate Error Parameter=0 Prob>|T| INTERCEP 1 33.265 8.265 4.02 0.000 X1 0.1264 0.0591 2.14 0.048 X2 1 -0.2090 0.1424 -1.47 0.162 X3 -0.3229 0.1948 -3.08 0.007 Hat Diag OBS Residual St Residual H Dffits Rstudent 1 0.9592 0.2669 0.1006 1.1682 0.1302 2 -1.9619 -0.5461 0.1545 -1.2558 -0.1137 2.4108 0.6710 0.4079 8.9855 4.4749 4 -1.6338 -0.4547 0.1846 -1.4560 -0.4813 2.2696 0.6317 0.1795 1.5630 0.3017 6 -0.0344 -0.0095 0.2226 -1.2253 -0.5137 7 -17.359 -4.4338 1.2514 -6.7588 -7.0394 8 -2.2971 -0.6394 0.0766 -1.0210 -0.4547 1.8003 0.5011 0.2763 1.6666 0.1058 10 1.9242 0.5356 0.1601 1.0982 0.0549 11 0.0231 0.0065 0.1408 1.4234 0.0879 12 -1.2785 -0.3558 0.2439 -1.6982 -0.3089 13 -0.7956 -0.2214 0.3633 -0.8329 -0.6084 14 -0.9217 -0.2566 0.3381 -0.3581 -0.6367 15 -2.4225 -0.6743 0.0994 -1.4579 -0.8814 16 -5.7967 -1.6135 0.1111 -1.9867 -0.9031 17 4.4487 1.2382 0.0418 0.9887 0.8244 18 -4.9092 -1.3664 0.2499 -1.5432 -0.8974 19 11.7607 3.0786 0.5432 8.1111 0.2325 20 -0.4851 -0.1350 0.1444 -0.7943 -0.7299 Share U Capture Crop B more TII
Transcribed Image Text:70% 08:13 4G Exam preps - Saved 目 SAS PRINTOUT: Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F M Model 3 327.30 109.10 7.118 0.0029 Error 16 245.25 15.33 C Total 19 572.55 Root MSE 3.915 R-square 0.572 Dep Mean 17.62 Adj R-sq 0.491 C.V. 12.89728 Parameter Estimates Parameter Standard т for HO: Variable DF Estimate Error Parameter=0 Prob>|T| INTERCEP 1 33.265 8.265 4.02 0.000 X1 0.1264 0.0591 2.14 0.048 X2 1 -0.2090 0.1424 -1.47 0.162 X3 -0.3229 0.1948 -3.08 0.007 Hat Diag OBS Residual St Residual H Dffits Rstudent 1 0.9592 0.2669 0.1006 1.1682 0.1302 2 -1.9619 -0.5461 0.1545 -1.2558 -0.1137 2.4108 0.6710 0.4079 8.9855 4.4749 4 -1.6338 -0.4547 0.1846 -1.4560 -0.4813 2.2696 0.6317 0.1795 1.5630 0.3017 6 -0.0344 -0.0095 0.2226 -1.2253 -0.5137 7 -17.359 -4.4338 1.2514 -6.7588 -7.0394 8 -2.2971 -0.6394 0.0766 -1.0210 -0.4547 1.8003 0.5011 0.2763 1.6666 0.1058 10 1.9242 0.5356 0.1601 1.0982 0.0549 11 0.0231 0.0065 0.1408 1.4234 0.0879 12 -1.2785 -0.3558 0.2439 -1.6982 -0.3089 13 -0.7956 -0.2214 0.3633 -0.8329 -0.6084 14 -0.9217 -0.2566 0.3381 -0.3581 -0.6367 15 -2.4225 -0.6743 0.0994 -1.4579 -0.8814 16 -5.7967 -1.6135 0.1111 -1.9867 -0.9031 17 4.4487 1.2382 0.0418 0.9887 0.8244 18 -4.9092 -1.3664 0.2499 -1.5432 -0.8974 19 11.7607 3.0786 0.5432 8.1111 0.2325 20 -0.4851 -0.1350 0.1444 -0.7943 -0.7299 Share U Capture Crop B more TII
Styles EXAM PREPS The human resources manager of a certain company is concerned about the level of employee absenteeism. He identified three factors which he believes are the most significant contributors to employee absenteeism at the company: x = the length of job tenure of an employee (measured in months) xɔ = the level of job satisfaction (measured by an index from 0 to 75) x3 = the level of an employee's commitment (measured by an index from 0 to 70) random sample of 20 employee records selected and the model was E(v) = Bo +B + Bx2 + Bzx3 was fitted to the sample data. The results are given in the SAS printout on page 7. Using the values of the standardized residuals on the printout how to I identify any outliers.
Transcribed Image Text:Styles EXAM PREPS The human resources manager of a certain company is concerned about the level of employee absenteeism. He identified three factors which he believes are the most significant contributors to employee absenteeism at the company: x = the length of job tenure of an employee (measured in months) xɔ = the level of job satisfaction (measured by an index from 0 to 75) x3 = the level of an employee's commitment (measured by an index from 0 to 70) random sample of 20 employee records selected and the model was E(v) = Bo +B + Bx2 + Bzx3 was fitted to the sample data. The results are given in the SAS printout on page 7. Using the values of the standardized residuals on the printout how to I identify any outliers.
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