After I Conduct a collinearity diagnostic using variance inflation factor (VIF). I am stuck. Help me analyse the outcomes please..

Univariate Analysis of Variance Warnings Post hoc tests are not performed for Gender because there are fewer than three groups. Between-Subjects Factors Value Label N Gender 1 Male 258 2 Female 216 Job Category 1 Clerical 363 2 Custodial 27 3 Manager 84 Descriptive Statistics Dependent Variable: Current Salary Gender Job Category Mean Std. Deviation N Male Clerical $31,558.15 $7,997.978 157 Custodial $30,938.89 $2, 114.616 27 Manager $66,243.24 $18,051.570 74 Total $41,441.78 $19,499.214 258 Female Clerical $25,003.69 $5,812.838 206 Manager $47,213.50 $8,501.253 10 Total $26,031.92 $7,558.021 216 Total Clerical $27,838.54 $7,567.995 363 Custodial $30.938.89 $2, 114.616 27 Manager $63,977.80 $18,244.776 84 Total $34,419.57 $17,075.661 474 Levene's Test of Equality of Error Variancesb Levene Statistic df1 df2 Sig. Current Salary Based on Mean 33.383 4 469 000 Based on Median 30.319 A 469 000 Based on Median and with 30.319 4 218.439 000 adjusted df Based on trimmed mean 31.727 4 469 000 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. ab a. Dependent variable: Current Salary b. Design: Intercept + Gender + JobCat + Gender * JobCatTests of Between-Subjects Effects Dependent Variable: Current Salary Type Ill Sum of Partial Eta Source Squares df Mean Square Sig. Squared Corrected Model 96456357285. 104 4 24114089321.276 272.780 000 699 Intercept 177271943071.927 1 177271943071.927 2005.313 000 810 Gender 5247440731.568 1 5247440731.568 59.359 000 112 JobCat 32316332041.298 2 16158166020.649 182.782 000 438 Gender * JobCat 1247682866.737 1247682866.737 14.114 000 029 Error 41460138151.236 469 88401147.444 Total 699467436925.000 474 Corrected Total 137916495436.340 473 a. R Squared = .699 (Adjusted R Squared = .697) Estimated Marginal Means 1. Gender Estimates Dependent Variable: Current Salary 95% Confidence Interval Gender Mean Std. Error Lower Bound Upper Bound Male 42913.428 747.722 41444.129 44382.728 Female 36108.595 1522.272 33117.277 39099.912 a. Based on modified population marginal mean. Pairwise Comparisons Dependent Variable: Current Salary Mean Difference 95% Confidence Interval for Difference ()) Gender (J) Gender (I-J) Std. Error Sig. Lower Bound Upper Bound Male Female 6804.834' 1695.995 000 3472.144 10137.523 Female Male -6804.834'c 1695.995 .000 -10137.523 -3472.144 Based on estimated marginal means *. The mean difference is significant at the .05 level. b. An estimate of the modified population marginal mean (J). c. An estimate of the modified population marginal mean (1). d. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).Univariate Tests Dependent Variable: Current Salary Sum of Squares df Mean Square F Sig. Partial Eta Squared Contrast 1423127196.021 1423127196.021 16.099 .000 .033 Error 41460138151.236 469 88401147.444 The F tests the effect of Gender. This test is based on the linearly independent pairwise comparisons among the estimated marginal means. 2. Job Category Estimates Dependent Variable: Current Salary 95% Confidence Interval Job Category Mean Std. Error Lower Bound Upper Bound Clerical 28280.921 498.045 27302.245 29259.598 Custodial 30938.8893 1809.452 27383.252 34494.525 Manager 56728.372 1583.882 53615.989 59840.755 a. Based on modified population marginal mean. Pairwise Comparisons Dependent Variable: Current Salary 95% Confidence Interval for Mean Difference Differenced (0) Job Category (J) Job Category ( I-J) Std. Error Sig. Lower Bound Upper Bound Clerical Custodial 2657.9683 1876.743 157 -6345.834 1029.899 Manager 28447.451' 1660.340 000 -31710.078 -25184.824 Custodial Clerical 2657.9680 1876.743 157 -1029.899 6345.834 Manager -25789.483"c 2404.745 000 -30514.890 -21064.075 Manager Clerical 28447.451 1660.340 000 25184.824 31710.078 Custodial 25789.4833," 2404.745 000 21064.075 30514.890 Based on estimated marginal means *. The mean difference is significant at the .05 level. a. An estimate of the modified population marginal mean (J). C. An estimate of the modified population marginal mean (1). d. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).Univariate Tests Dependent Variable: Current Salary Sum of Squares df Mean Square Sig. Partial Eta Squared Contrast 25951018347.314 2 12975509173.657 146.780 .000 .385 Error 41460138151.236 469 88401147.444 The F tests the effect of Job Category. This test is based on the linearly independent pairwise comparisons among the estimated marginal means. 3. Gender * Job Category Dependent Variable: Current Salary 95% Confidence Interval Gender Job Category Mean Std. Error Lower Bound Upper Bound Male Clerical 31558.153 750.376 30083.637 33032.669 Custodial 30938.889 1809.452 27383.252 34494.525 Manager 66243.243 1092.982 64095.495 68390.992 Female Clerica 25003.689 655.082 23716.431 26290.947 Custodial Manager 47213.500 2973.233 41370.993 53056.007 a. This level combination of factors is not observed, thus the corresponding population marginal mean is not estimable. Post Hoc Tests Job Category Multiple Comparisons Dependent Variable: Current Salary Tukey HSD Mean Difference 95% Confidence Interval (1) Job Category (J) Job Category (I-J Std. Error Sig Lower Bound Upper Bound Clerical Custodial -$3, 100.35 $1,875.539 .225 $7,510.07 $1,309.37 Manager $36, 139.26 $1, 138.387 .000 -$38,815.81 -$33,462.71 Custodial Clerical $3, 100.35 $1,875.539 .225 $1,309.37 $7,510.07 Manager -$33,038.91' $2,080.027 .000 -$37,929.42 -$28, 148.40 Manager Clerical $36, 139.26' $1, 138.387 000 $33,462.71 $38,815.81 Custodial $33,038.91' $2,080.027 .000 $28,148.40 $37,929.42 Based on observed means. The error term is Mean Square(Error) = 88401147.444. *. The mean difference is significant at the .05 level.Homogeneous Subsets Current Salary Tukey HSDa,b.c Subset Job Category N 2 Clerical 363 $27,838.54 Custodial 27 $30,938.89 Manager 84 $63,977.80 Sig. 179 1.000 Means for groups in homogeneous subsets are displayed. Based on observed means. The error term is Mean Square (Error) = 88401147.444. a. Uses Harmonic Mean Sample Size = 58.031. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed. c. Alpha = .05. Profile Plots Estimated Marginal Means of Current Salary $70,000 Gender Male Female $60,000 $50,000 Estimated Marginal Means $40,000 $30,000 Clerical Custodial Manager Job Category Non-estimable means are not plotted