respond to peers and provide a different perspective while appreciating their insight : For studying the relationship between physical activity and life satisfaction among college students, the most appropriate GCU quantitative core design would be the correlational or associative design. This design is suitable because it allows examination of the direction and strength of the relationship between physical activity levels and life satisfaction without manipulating variables (Creswell, 2012). Two potential research questions could be: "Is there a significant correlation between physical activity levels and life satisfaction among college students?" and "To what extent do physical activity levels predict life satisfaction among college students?" The advantages of this design include the ability to identify and quantify relationships using naturally occurring data, which is practical and less resource-intensive (Babbie, 2013). However, a significant challenge is the inability to establish causality, meaning the results can only suggest associations rather than definitive cause-and-effect relationships (Gravetter & Forzano, 2009). Despite this limitation, the design is highly effective for exploring and understanding relationships in naturally occurring settings.