Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.
Imagine you're a researcher studying how sleep affects mood. To explore the connection, you would look at two key "variables": sleep (how much someone gets) and mood (how happy or irritable they feel) ...