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.
<h3>What is the difference between the observed sample value of Y and the Y value that exists as predicted by utilizing the regression equation?</h3>
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:
brainly.com/question/7467603
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