summary(stepmodel) Call: glm(formula = Attrition Age + Business Travel + Daily Rate + DistanceFromHome + Education Field + EnvironmentSatisfaction + Gender JobInvolvement + JobLevel + Job Role + JobSatisfaction + Marital Status + Monthly Income + NumCompaniesWorked + OverTime + RelationshipSatisfaction + Total WorkingYears + TrainingTimes Last Year + WorkLifeBalance + YearsAtCompany + YearsInCurrentRole + Years SinceLastPromotion + YearsWithCurrManager, family = "binomial", data = train) Coefficients: (Intercept) Age Estimate Std. Error z value 3.4637432 1.5936640 2.173 -0.0263187 0.0155146 -1.696 BusinessTravelTravel Frequently 2.3859387 0.5033981 4.740 BusinessTravelTravel_Rarely DailyRate 1.2889447 0.4610010 2.796 -0.0005805 0.0002614 -2.221 Pr(>Izl) 0.029747 * 0.089813 0.000002141 *** 0.005174 ** 0.026360 * 0.000030515 *** 0.159246 DistanceFromHome EducationFieldLife Sciences EducationFieldMarketing EducationFieldMedical 0.0534474 0.0128184 4.170 -1.3675050 0.9715080 -1.408 -0.9406427 1.0147505 -0.927 -1.4565127 0.9729534 -1.497 0.353942 0.134393 EducationFieldOther -1.3580063 1.0415750 -1.304 0.192302 EducationFieldTechnical Degree EnvironmentSatisfaction2 EnvironmentSatisfaction3 EnvironmentSatisfaction4 GenderMale JobInvolvement2 JobInvolvement3 JobInvolvement4 JobLevel2 JobLevel3 JobLevel4 JobLevel5 JobRoleHuman Resources JobRoleLaboratory Technician JobRoleManager JobRoleManufacturing Director JobRoleResearch Director JobRoleResearch Scientist JobRoleSales Executive JobRoleSales Representative JobSatisfaction2 JobSatisfaction3 -0.2754675 0.9824063 -0.280 -1.0292801 0.3221284 -3.195 -1.2107085 0.3045097 -3.976 -1.5081256 0.3149172 -4.789 0.5274659 0.2225573 2.370 -1.2839864 0.4300153 -2.986 -1.5914441 0.4080773 -3.900 -2.1897349 0.5517892 -3.968 -1.2747461 0.5386129 -2.367 1.0238683 0.8426592 1.215 1.0329713 1.4923009 0.692 0.001397 ** 0.000070106 *** 0.000001676 *** 0.017787 * 0.002827 ** 0.000096249 *** 0.000072349 *** 0.017946 * 0.779170 JobSatisfaction4 Marital StatusMarried Marital StatusSingle Monthly Income NumCompaniesWorked OverTimeYes RelationshipSatisfaction 0.6205246 0.3036795 2.043 1.6658829 0.3157197 5.276 -0.0002386 0.0001133 -2.106 0.2070064 0.0472430 4.382 2.3366774 0.2403602 9.722 -0.2853501 0.0975362 -2.926 TotalWorkingYears -0.0869353 0.0362686 -2.397 TrainingTimesLast Year -0.1599395 0.0873499 -1.831 WorkLifeBalance2 WorkLifeBalance3 WorkLifeBalance4 YearsAtCompany Years InCurrentRole Years SinceLastPromotion YearsWithCurrManager -0.8680612 0.4418911 -1.964 -1.2787929 0.4145946 -3.084 -0.9359321 0.4990577 -1.875 0.1217373 0.0522916 2.328 -0.1443907 0.0580064 -2.489 0.1866021 0.0498351 3.744 -0.1392260 0.0563187 -2.472 0.224349 0.488811 3.7880283 2.0142261 1.881 0.060021 0.825413 0.709971 0.487860 0.585974 0.328536 0.365367 0.2237943 1.0145319 0.221 0.2611074 0.7020985 0.372 -0.9796916 1.4122377 -0.694 -0.3755581 0.6895035 -0.545 -1.4084867 1.4415451 -0.977 -0.6543926 0.7229382 -0.905 1.1665230 0.5388264 2.165 0.6269873 0.7737168 0.810 -0.6177664 0.3285654 -1.880 -0.6260151 0.2880415 -2.173 -1.2924633 0.3021452 -4.278 0.030393 * 0.417735 0.060082 0.029754 * 0.041017 * 0.000000132 *** 0.035230 * 0.000011774 *** 0.0000000000000002 *** 0.003438 ** 0.016530 * 0.067097 0.049481 * 0.002039 ** 0.060738 0.019910 * 0.012802 * 0.000018890 *** 0.000181 *** 0.013432 * Signif. codes: ***** 0.001 **** 0.01 *** 0.05' 0.1 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 1040.54 on 1176 Residual deviance: 619.75 on 1129 AIC: 715.75 Number of Fisher Scoring iterations: 7 degrees of freedom degrees of freedom