In problem 13.14, we investigated the relationships between income and five dependent variables. Let’s return to two of those relationships and see if sex has any effect on the bivariate relationships. The bivariate and partial tables are presented here along with the bivariate gammas that were computed in the previous exercise. Compute percentages and gammas for each of the partial tables and state your conclusions. Does controlling for sex have any effect?

a. Support for abortion by income (from problem 13.14a):

(HINT: Note that the higher score on the variable that measures support for abortion is associated with “No.” The negative sign of gamma means that as score on income increases, score on the dependent variable decreases. In other words, people with higher incomes were more supportive of the legal right to abortion [more likely to say “Yes,” or have a score of 1]. This is actually a positive relationship: As income