Repeat Exercise 15.31 but this time use just the dichotomous predictor Marital Status. Create a contingency table of Married/Unmarried by Report/No Report, calculate odds ratios, and compare those...

Repeat Exercise 15.31 but this time use just the dichotomous predictor Marital Status. Create a contingency table of Married/Unmarried by Report/No Report, calculate odds ratios, and compare those ratios to the results of the logistic regression. (The result will not be significant, but that is not important.)

The data set Harass.dat contains slightly modified data on 343 cases created to replicate the results of a study of sexual harassment by Brooks and Perot (1991). The dependent variable is whether or not the subjects reported incidents of sexual harassment, and the independent variables are, in order, Age, Marital Status (1 5 married, 2 5 single), Feminist Ideology, Frequency of the behavior, Offensiveness of the behavior, and whether or not it was reported (0 5 no, 1 5 yes). (For each variable, higher numbers represent more of the property. Using any logistic regression program, examine the likelihood that a subject will report sexual harassment on the basis of the independent variables.