The standard deviation of the residuals, denoted as "s", measures the average distance between each observed data point and its corresponding predicted value. It quantifies the amount of variability or dispersion in the residuals.
Residuals: The differences between observed data points and their corresponding predicted values.
Mean Squared Error (MSE): The average squared difference between observed data points and their corresponding predicted values.
Coefficient of Determination (R-squared): A measure that represents the proportion of variation in the dependent variable that can be explained by the independent variable(s).