APPENDIX 2 Table 2 Model Summary Adjusted Std. Error of Model R R Square R Square the Estimate 1 547 300 293 8.091 a. Predictors: (Constant), Management, Region, Years of Relevant Experience, Supervisor, Sex, Sales, Union Status, Administrative/IT, Years of Education b. Dependent Variable: Hourly Wage ($) Table 3 Model 1 Regression Residual Total ANOVAa Find text or tools Sum of Mean df Square F Sig. Square S 28434.321 9 3159.369 48.266 .000 66504.194 1016 65.457 94938.515 1025 a. Dependent Variable: Hourly Wage ($) b. Predictors: (Constant), Management, Region, Years of Relevant Experience, Supervisor, Sex, Sales, Union Status, Administrative/IT, Years of Education J Table 4 Coefficients Unstandardized Coefficients Standardized Coefficients Std. Model B Error Beta t Sig. 1 (Constant) 4.936 1.833 2.693 .007 Years of Education 1.328 122 .371 10.870 .000 Years of Relevant Experience .190 .022 253 8.795 .000 Sex -3.222 .521 -,167 -6.184 .000 Region -.769 .566 -.036 -1.359 .175 Union Status 1.701 .626 .076 2.715 .007 Administrative/IT 2.235 .668 .098 3.346 .001 Supervisor Sales Management a. Dependent Variable: Hourly Wage ($) 4.211 .932 .128 4.520 .000 1.647 .796 .065 2.069 .039 12.288 1.476 .229 8.326 .000 Frequency 2,00 150 100 50 Histogram Dependent Variable: Hourly Wage (S) Mean = 8.45E-15 Std. Dev. 0.996 N = 1,026 100 Regression Standardized Residual Figure 1 E Regression Standardized Residual 10 Expected Cum Prob Normal P-P Plot of Regression Standardized Residual Dependent Variable: Hourly Wage (5) 10 00 04 D.G Observed Cum Prob Figure 2 08 Scatterplot Dependent Variable: Hourly Wage ($) 0 Regression Standardized Predicted Value Figure 3 Find text or tools 5