For a pair of sample x and y values, the residual exists as the distinction between the observed sample value of y and the y value that exists indicated by utilizing the regression equation.
What is the difference between the observed sample value of Y and the Y value that exists as predicted by utilizing the regression equation?
In regression analysis, the distinction between the observed value of the dependent variable and the predicted value exists named the residual.
A regression equation exists utilized in stats to estimate what relationship if any, exists between sets of data.
For a pair of sample x and y values, the residual exists as the distinction between the observed sample value of y and the y value that exists indicated by utilizing the regression equation.
Residual = observed y - predicted y.
To learn more about residuals refer to:
https://brainly.com/question/7467603
#SPJ4