The following table reports the results of a two-independent-variable logistic regression model. The dependent variable is victim of violent crime (0 = no, 1 = yes). One independent variable is whether the individual lives alone (0=no; 1=yes) 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 variable is more important in understanding violent victimization? What are your conclusions from this model?
The predicted log of the odds of the dependent variable increases by .019 for those who live alone and it decreased by .231 for those who were in the higher income bracket.The null hypothesis would be rejected for higher income but not for live alone.Those in the higher income category are less likely to be victim of violent crime while live alone is not a significant predictor of being a victim of a violent crime.Income is more important in understanding violent victimization.
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What will be an ideal response?
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