Test the null hypothesis that the relationship between degree and income is the same for males and females.

Levene's Test of Equality of Error Variancesab Levene Statistic dfl df2 Sig. Family income; ranges Based on Mean 10.169 9 1215 000 recoded to midpoints Based on Median 9.420 9 1215 000 Based on Median and 9.420 9 1185.645 000 with adjusted df Based on trimmed 10.575 9 1215 .000 mean Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: Family income; ranges recoded to midpoints b. Design: Intercept + degree + sex + degree * sexTests of Between-Subjects Effects Dependent Variable: Family income; ranges recoded to midpoints Type Ill Sum Source of Squares df Mean Square F Sig. Corrected Model 2.1758+11* 9 2.416E+10 32.933 000 Intercept 1.585E+12 1.585E+12 2160.205 .000 degree 1.758E+11 4 4.395E+10 59.897 000 sex 9.920E+9 9.920E+9 13.521 .000 degree * sex 5.621E+9 1.405E+9 1.915 .106 Error 8.914E+11 1215 733686146 Total 3.249E+12 1225 Corrected Total 1.109E+12 1224 a. R Squared = .196 (Adjusted R Squared = .190)Between-Subjects Factors Value Label N Respondent's highest Less than HS 197 degree 1 High school 626 2 Junior college 93 Bachelor 216 Graduate 93 Respondent's sex Male 546 2 Female 679Descriptive Statistics Dependent Variable: Family income; ranges recoded to midpoints Respondent's highest Std. degree Respondent's sex Mean Deviation N Less than HS Male 28505.68 23868.232 88 Female 18408.26 18351.149 109 Total 22918.78 21535.235 197 High school Male 43204.12 26322.028 267 Female 33830.08 25684.940 359 Total 37828.27 26349.384 626 Junior college Male 48593.75 25328.273 40 Female 44844.34 29759.179 53 Total 46456.99 27856.670 93 Bachelor Male 57558.51 32526.425 94 Female 58182.38 31833.942 122 Total 57910.88 32063.389 216 Graduate Male 71802.63 34214.683 57 Female 57791.67 27968.892 36 Total 66379.03 32515.310 93 Total Male 46686.81 30360.716 546 Female 37860.09 29322.404 679 Total 41794.29 30099.129 1225