The following table reports the results of a two-independentvariable logistic regression model. The dependent variable is victim of violent crime (0 = no, 1 = yes). One independent variable is the age of the respondent and the other is whether they were in the higher income bracket (0 = no, 1 = yes). The sample size is 12,807.Interpret the two regression coefficients.Using an alpha level of .05, test the null hypothesis that the logistic regression coefficient for the variable “victim’s income bracket” is equal to zero against the alternative that it is greater than zero. Using an alpha level of .05, test the null hypothesis that the logistic regression coefficient for the variable “victim’s age” is equal to zero against the alternative that it is greater than zero.Which

Question

variable is more important in understanding violent victimization? What are your conclusions from this model?

Answer 1

The predicted log of the odds of the dependent variable decreases by .126 for every year of age and it decreased by .349 for those who were in the higher income category.The null hypothesis would be rejected for both variables.Those who are older have a decreased odd of being a victim of a violent crime as do those of higher income.Age is more important in understanding violent victimization.