The data presented in the residual models of diabetes and inactivity provide valuable insight into the residual characteristics in the context of a background sample. By using these data we can collectively provide an assessment of the linear regression model. The residuals are shown to have a moderate spread, exhibit symmetry at the center, and have few outliers. While these characteristics are important for understanding model performance, they do not directly reflect the strength or ambiguity of the relationship between diabetes and inactivity, which would require examination of regression coefficients and R-squared values, if there is any.
