The United States of America is one of the only few countries that constitutionally protects the right to bear arms. However, people in politics and the news have debated if there should be restrictions on what types or how many guns people can have in an effort to curb gun violence. Thus, when presented with this research project, we wanted to educate ourselves on this topic and look into what factors potentially contribute to gun violence in the United States.
The question that we based our research project on was what factors could potentially lead to an increase or decrease in a state’s firearm mortality rate? However, before we could answer this question, we had to decide on some variables that we thought would have an significant impact on our response variable. In the end, we chose to focus on five variables. They were the number of gun laws, gun ownership rates, poverty rates, urban population percent, and the state’s political party. Our response variable was the firearm mortality rate, which is the number of all firearm deaths per state, both unintentional and intentional, per 100,000 people. When we began looking for data, we first explored Kaggle. However, there wasn’t a dataset that had the variables we wanted to research. Thus, we had to gather the different variables through different sources, which was a challenge for us. In order to avoid biased data, we individually gathered firearm data state by state though the CDC and Census Bureau.
Our data contained four quantitative variables and one categorical variable. Our first quantitative variable was the number of gun laws. We hypothesized that a increase in the number of restrictions and regulations for guns would decrease the firearm mortality rate. For our second quantitative variable,
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