Question.3764 - Very important this week is understanding the different interpretations of Pearson's R and R-square. Pearson's R is another PRE stat. R-square helps us understand how well our model explains the variation found in the DV. Please, read this article: http://www.realclearscience.com/blog/2013/03/the-correlation-between-guns-and-homicide-rate.htmlLinks to an external site. Answer the following questions: What is the research question? What is the sample? What is the independent and dependent variable? Interpret the first figure’s r 2 . Why focus in on developed countries? Interpret the second figure’s r 2 ? Why remove outliers? Interpret the third figure’s r 2 ? Any critiques or additional observations about the correlations shown here? You must cite and reference.
Answer Below:
The research question is, "Are more guns linked to a higher homicide rate? (The Correlation between Guns and Homicide Rate | RealClearScience, n.d.)" The sample consists of 107 countries for which data on the number of guns per capita and the firearm homicide rate is available. The Independent variable is the number of guns per 100 people (guns per capita).The Dependent variable is the homicide by firearm rate (per 100,00 people). The first figure, r-square 0.0104, suggests that there is a weak correlation between the number of guns per capita and the firearm homicide rate when considering the global dataset. Focusing on developed countries removes confounding factors like poverty and weak law enforcement, which aims to get a clear understanding of the relationship between gun ownership and firearm homicides. The second figure, r-square 0.00046, suggests that there is no correlation between the number of guns per capita and the firearm homicide rate. We remove outliers because it is skewing the results. South Africa has a unique history of ethnic conflict and high levels of violence among developed nations. The third figure, r-square 0.50451, suggests that there is a moderately strong correlation between the number of guns per capita and the firearm homicide rate. By narrowing the analysis to developed countries and excluding outliers like South Africa, the r² improves to 0.50451. This suggests that gun ownership may play a more substantial role in firearm homicide rates among these nations. However, this raises questions about whether other factors, such as economic inequality, governance, or cultural attitudes toward guns, are equally important. References The Correlation Between Guns and Homicide Rate | RealClearScience. (n.d.). Www.realclearscience.com. https://www.realclearscience.com/blog/2013/03/the-correlation-between-guns-and-homicide-rate.htmlMore Articles From Sociology
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