Explain in detail step by step analysis. Part 3

Univariate Analysis of Variance

Between-Subjects Factors

Tests of Between-Subjects Effects

Dependent Variable: RESPONDENTS INCOME Source Type Ill Sum of Squares Df Mean Square F Sig. Partial Eta Squared Corrected 251.810a 2 125.905 17.176 .000 105 Model Intercept 8121.510 1 8121.510 1107.941 .000 .790 degree 178.240 1 178.240 24.316 000 076 sex 70.517 1 70.517 9.620 002 032 Error 2155.100 294 7.330 Total 34493.000 297 Corrected Total 2406.909 296 a. R Squared = .105 (Adjusted R Squared = .099)Dependent Variable: RESPONDENTS INCOME 95% Confidence Interval Parameter B Std. Error T Sig. Lower Bound Upper Bound Partial Eta Squared Intercept 8.747 322 27.127 000 8.112 9.382 .715 degree .681 138 4.931 000 .409 952 076 [sex=1] 977 315 3.102 002 .357 1.596 032 [sex=2] Qa