Answer:
look below :)
Step-by-step explanation:
The residual standard deviation is simply the standard deviation of the residual values, or the difference between a set of observed and predicted values. The standard deviation of the residuals calculates how much the data points spread around the regression line.
standard deviation is a quantity calculated to indicate the extent of deviation for a group as a whole.
Residual analysis is used to assess the appropriateness of a linear regression model by defining residuals and examining the residual plot graphs.
hope this helps :)
