## ## Call : ## glm( formula = Attrition ~ JobLevelCat + Age + BusinessTravel + # # JobSatisfaction + Gender + MaritalStatus + OverTime, family = binomial(link = "logit"), # # data = attr) # # ## Deviance Residuals: # # Min 10 Median 30 Max ## -1.7879 -0. 5589 -0. 3709 -0. 2257 2.9347 # # ## Coefficients: # # Estimate Std. Error z value Pr (> | z) ) ## (Intercept) -1. 31284 0. 54126 -2.426 0. 015286 * ## JobLevelCat2 -1. 09661 0. 19316 -5. 677 0.0000000137 ** * ## JobLevelCat3 -0. 50998 0. 24499 -2. 082 0. 037373 * ## JobLevelCat4 -1. 60024 0. 51219 -3.124 0. 001782 ** ## JobLevelCat5 -1. 09554 0. 53118 -2. 062 0. 039163 * ## Age -0. 02909 0. 01040 -2. 797 0. 005154 ** ## BusinessTravelTravel_Frequently 1.30969 0. 35968 3. 641 0. 000271 *** ## BusinessTravelTravel_Rarely 0. 59373 0. 33707 1. 761 0. 078161 ## JobSatisfaction -0. 32705 0. 07075 -4. 622 0.0000037925 *** ## GenderMale 0. 30032 0. 16442 1.827 0. 067766 ## MaritalStatusMarried 0. 34299 0. 23373 1.467 0. 142243 ## MaritalStatusSingle 1. 19769 0. 23269 5. 147 0. 0000002643 ** * ## OverTimeYes 1. 53141 0. 16267 9. 414