Calibri 11 . AI A == ab Wrap Text General 11 PA Normal 2 Normal Bad X Cut [ Format Painter LECopy Paste BIU a. Av EEEEE 3 Merge & Center $ % ) , Neutral Calculation Conditional Format as Good Formatting Table Clipboard Font Alignment Number Styles A15016 X for R S U U V W W X AA AB Y Z Classification Table Coeff LLO LL1 -8232 -6477 Suc-Obs Fail-Obs Suc-Prel 1301 830 Fail-Pred 2270.00 ###### 3571.00 ###### 2131 12868 14999 1.2098 -4.123 0.7249 -0.311 0.0044 0.2558 -1.537 -1.522) -0.705) Chi-Sq df p-value alpha sig 3510.9 8 0 0.05 yes Accurad 0.3643 0.92741 0.7933 Cutoff 0.5 1 0.1419 0.2381 R-Sq(L) 0.2132 R-SqlC 0.2087 R-SIN) 0.3132| AIC 12972 BIC 13040 A B DE F F G H H I J J K L M N o P P Q 1 Logistic Regression 2 3 San's Era/ EX Time 400 From Sa/ Success Fale Toxa/ 0-6 0-F Sue-FeFax'-Frey 22 ZZ 4 4 0.38 0.53 2.00 157.00 3.00 0.00 0.00 1.00 1.00 0.00 1.001 1 0.5408 0.5408 0.46 -0.615 100 5 0.80 0.86 5.00 262.00 6.00 0.00 0.00 2.00 1.00 0.00 1.00 1' 0.1501 0.1501 0.85 -1.897 0 6 0.11 0.88 7.00 272.00 4.00 0.00 0.00 2.00 1.00 0.00 1.00 1' 0.50911 0.5091 0.49 -0.675 100 7 0.72 0.87 5.00 223.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.2459 0.2459 0.75 -1403 0 0 8 0.37 0.52 2.00 159.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5515 0.5515 0.45 -0.595 100 9 0.41 0.50 2.00 153.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.5001 0.5001 0.50 -0.693 100 10 0.10 0.77 6.00 247.00 4.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.7117 0.7117 0.29 -0.34 100 11 0.92 0.85 5.00 259.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 0.1419 0.86 -1.953 0 0 12 0.89 1.00 5.00 224.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.1515 0.1515 0.85 -1.887 0 0 13 0.42 0.53 2.00 142.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.4831 0.4831 0.52 -0.728 0 0 14 0.45 0.54 2.00 135.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.4464 0.4464 0.55 -0.807 0 0 15 0.11 0.81 6.00 305.00 4.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.7592 0.7592 0.24 -0.275 100 16 0.84 0.92 4.00 234.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.2281 0.2281 0.77 -1.478 0 0 17 0.41 0.55 2.00 148.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5036 0.5036 0.50 -0.686 100 18 0.36 0.56 2.00 137.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5447 0.5447 0.46 -0.608 100 19 0.38 0.54 2.00 143.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5272 0.5272 0.47 -0.64 100 20 0.45 0.47 2.00 160.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.4613 0.4613 0.541 -0.774 0 0 14997 0.76 0.83 6.00 293.00 6.00 0.00 0.00 1.00 1.00 0.00 1.00 10.2575 0.2575 0.74 -1.357 0 14998 0.40 0.57 2.00 151.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 10.5209 0.5209 0.48 -0.652 100 14999 0.37 0.48 2.00 160.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5454 0.5454 0.45 -0.606 100 15000 0.37 0.53 2.00 143.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5357) 0.5357 0.461 -0.624 100 15001 0.11 0.96 6.00 280.00 4.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.7588 0.7588 0.24 -0.276 100 15002 0.37 0.52 2.00 158.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5504 0.5504 0.45 -0.597 100 15003 3571.00 ############ 3571 11428 -6477 79.332 15004 Que.3. i 15005 Theature take are the restaura disha pressmeere the educatire at an employee Aaya n. 15006 You are unsure about the retention of five of your employees and would like to intervene if they are planning to leaving. 15007 Your limited resources allow you to intervene in the case of only two workers. Which two of the five will you try to intervene? 15008 Mix-wwhaeocabulae te obability of an amabwawy wartimin e Gasto/o-Fic/ 15009 San's Exa/ FX ins Time Frumu Sa/ Emas P-Frey 15010 0.41 0.76 2.00 157.00 5.00 0.00 0.00 3.00 Al-Rasbi 15011 0.76 0.86 5.00 210.00 5.00 0.00 0.00 2.00 Brooke 15012 0.11 0.90 4.00 272.00 4.00 0.00 0.00 2.00 Chris 15013 0.35 0.87 6.00 205.00 3.00 0.00 0.00 1.00 Dan 15014 0.61 0.81 2.00 160.00 6.00 0.00 0.00 1.00 Emery 15015 15016 15017 15018 15019 15020 15021 15022 Que.3.ii 15023 Are the above logistic probabilities better than the simple turnover rate of 0.24? Why? 15024 15025 15026 15027 15028 Calibri 11 . AI A == ab Wrap Text General 11 PA Normal 2 Normal Bad X Cut [ Format Painter LECopy Paste BIU a. Av EEEEE 3 Merge & Center $ % ) , Neutral Calculation Conditional Format as Good Formatting Table Clipboard Font Alignment Number Styles A15016 X for R S U U V W W X AA AB Y Z Classification Table Coeff LLO LL1 -8232 -6477 Suc-Obs Fail-Obs Suc-Prel 1301 830 Fail-Pred 2270.00 ###### 3571.00 ###### 2131 12868 14999 1.2098 -4.123 0.7249 -0.311 0.0044 0.2558 -1.537 -1.522) -0.705) Chi-Sq df p-value alpha sig 3510.9 8 0 0.05 yes Accurad 0.3643 0.92741 0.7933 Cutoff 0.5 1 0.1419 0.2381 R-Sq(L) 0.2132 R-SqlC 0.2087 R-SIN) 0.3132| AIC 12972 BIC 13040 A B DE F F G H H I J J K L M N o P P Q 1 Logistic Regression 2 3 San's Era/ EX Time 400 From Sa/ Success Fale Toxa/ 0-6 0-F Sue-FeFax'-Frey 22 ZZ 4 4 0.38 0.53 2.00 157.00 3.00 0.00 0.00 1.00 1.00 0.00 1.001 1 0.5408 0.5408 0.46 -0.615 100 5 0.80 0.86 5.00 262.00 6.00 0.00 0.00 2.00 1.00 0.00 1.00 1' 0.1501 0.1501 0.85 -1.897 0 6 0.11 0.88 7.00 272.00 4.00 0.00 0.00 2.00 1.00 0.00 1.00 1' 0.50911 0.5091 0.49 -0.675 100 7 0.72 0.87 5.00 223.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.2459 0.2459 0.75 -1403 0 0 8 0.37 0.52 2.00 159.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5515 0.5515 0.45 -0.595 100 9 0.41 0.50 2.00 153.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.5001 0.5001 0.50 -0.693 100 10 0.10 0.77 6.00 247.00 4.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.7117 0.7117 0.29 -0.34 100 11 0.92 0.85 5.00 259.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 0.1419 0.86 -1.953 0 0 12 0.89 1.00 5.00 224.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.1515 0.1515 0.85 -1.887 0 0 13 0.42 0.53 2.00 142.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.4831 0.4831 0.52 -0.728 0 0 14 0.45 0.54 2.00 135.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.4464 0.4464 0.55 -0.807 0 0 15 0.11 0.81 6.00 305.00 4.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.7592 0.7592 0.24 -0.275 100 16 0.84 0.92 4.00 234.00 5.00 0.00 0.00 1.00 1.00 0.00 1.00 1' 0.2281 0.2281 0.77 -1.478 0 0 17 0.41 0.55 2.00 148.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5036 0.5036 0.50 -0.686 100 18 0.36 0.56 2.00 137.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5447 0.5447 0.46 -0.608 100 19 0.38 0.54 2.00 143.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5272 0.5272 0.47 -0.64 100 20 0.45 0.47 2.00 160.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.4613 0.4613 0.541 -0.774 0 0 14997 0.76 0.83 6.00 293.00 6.00 0.00 0.00 1.00 1.00 0.00 1.00 10.2575 0.2575 0.74 -1.357 0 14998 0.40 0.57 2.00 151.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 10.5209 0.5209 0.48 -0.652 100 14999 0.37 0.48 2.00 160.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5454 0.5454 0.45 -0.606 100 15000 0.37 0.53 2.00 143.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5357) 0.5357 0.461 -0.624 100 15001 0.11 0.96 6.00 280.00 4.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.7588 0.7588 0.24 -0.276 100 15002 0.37 0.52 2.00 158.00 3.00 0.00 0.00 1.00 1.00 0.00 1.00 1 0.5504 0.5504 0.45 -0.597 100 15003 3571.00 ############ 3571 11428 -6477 79.332 15004 Que.3. i 15005 Theature take are the restaura disha pressmeere the educatire at an employee Aaya n. 15006 You are unsure about the retention of five of your employees and would like to intervene if they are planning to leaving. 15007 Your limited resources allow you to intervene in the case of only two workers. Which two of the five will you try to intervene? 15008 Mix-wwhaeocabulae te obability of an amabwawy wartimin e Gasto/o-Fic/ 15009 San's Exa/ FX ins Time Frumu Sa/ Emas P-Frey 15010 0.41 0.76 2.00 157.00 5.00 0.00 0.00 3.00 Al-Rasbi 15011 0.76 0.86 5.00 210.00 5.00 0.00 0.00 2.00 Brooke 15012 0.11 0.90 4.00 272.00 4.00 0.00 0.00 2.00 Chris 15013 0.35 0.87 6.00 205.00 3.00 0.00 0.00 1.00 Dan 15014 0.61 0.81 2.00 160.00 6.00 0.00 0.00 1.00 Emery 15015 15016 15017 15018 15019 15020 15021 15022 Que.3.ii 15023 Are the above logistic probabilities better than the simple turnover rate of 0.24? Why? 15024 15025 15026 15027 15028