a. Which independent variables are significant?
b. Which variable has the greatest effect on the dependent variable? Why?
c. Which variable has the least impact on the dependent variable? Why?
The significant independent variables in this analysis are 'percentpoverty' and 'percentnonwhite'. The variable with the greatest effect on the dependent variable is 'percentpoverty', while the variable with the least impact is 'percent15to24'.
Analysis of Factors Affecting Rate of Unlawful Breaking and Entering
The researcher is conducting an analysis to determine the impact of various independent variables on the rate of unlawful breaking and entering. The independent variables under consideration are the percent of poverty, percent male, percent nonwhite, and the percent of individuals between the ages of 15 and 24 residing in the census block.
Significance of Independent Variables:
By looking at the coefficients and significance levels (Sig.) provided by the researcher, we can identify which independent variables are significant in affecting the rate of unlawful breaking and entering. From the data given, 'percentpoverty' and 'percentnonwhite' are the significant independent variables, as they both have low significance levels (0.028 and 0.000, respectively).
Effect of Independent Variables:
The variable 'percentpoverty' has the greatest effect on the dependent variable, with a coefficient of -5.049. This means that for every one unit increase in the percent of poverty, the rate of unlawful breaking and entering decreases by 5.049 units. The negative coefficient indicates an inverse relationship between poverty and the rate of unlawful breaking and entering, suggesting that areas with higher poverty levels may experience lower rates of unlawful entry.
Impact of Independent Variables:
Among the independent variables considered, 'percent15to24' has the least impact on the dependent variable. This is evident from its coefficient of 1.062, which is comparatively lower than the coefficients of the other significant variables. The percent of individuals between the ages of 15 and 24 residing in the census block has a minimal effect on the rate of unlawful breaking and entering, indicating that age demographics may not play a significant role in influencing criminal activities in this context.
In conclusion, the analysis highlights the importance of poverty and nonwhite population percentages in determining the rate of unlawful breaking and entering. Understanding these factors can aid policymakers and law enforcement agencies in developing targeted interventions to address and reduce instances of such criminal behavior in affected areas.