Residuals in the context of diabetes and inactivity refer to the differences between the observed values of diabetes prevalence and the values predicted by a linear regression model based on inactivity levels. When conducting a regression analysis, the model estimates the relationship between diabetes and inactivity, and the residuals represent how much the actual data points deviate from these predictions.
And we plot a residual plot for diabetes and inactivity
we plot Smooth histogram and Q-Q plot pot for residuals
And we calculate the Standard deviation = 0.91 , skewness = 0.51 and Kurtosis = 4.08