Today’s lesson delved into analyzing the age distribution of individuals who have died in police incidents, utilizing data sourced from the Washington Post dataset. Through this analysis, several thought-provoking questions have emerged to guide our research:

1. What discernible shifts have been observed in the age distribution of individuals who lose their lives in police confrontations over time? Are there any conspicuous trends or evolutions that might provide insights into broader governmental or societal changes?

2. Is there a statistically significant relationship between an individual’s age and other variables such as the time of day, the incident’s location, or the nature of the police interaction? If such relationships exist, what can they illuminate about the underlying dynamics of these incidents?

3. To what extent can we effectively model these events using logistic regression, considering the dataset’s features? Which characteristics of the data lend themselves to the application of logistic regression, and how might this method enhance our understanding of the factors influencing these tragic incidents?

These inquiries aim to enhance our understanding of the intricate interplay between age and police-related events.