In multiple regression analysis, when the response surface (the graphical depiction of the regression equation)hits every single point, the sum of squares for error SSE = 0, the standard error of estimate s_e = 0, and the coefficient of determination R ² = 1.

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When the response surface perfectly fits every single point, it means there is no error between the observed and predicted values, leading to an SSE of 0, a standard error of estimate of 0, and a coefficient of determination (R^2) of 1, indicating perfect prediction.

In Multiple Regression Analysis, When the Response Surface (The Graphical