which of the following do not describe a residual? check all that apply. A. the difference between the actual value and the predicted value B. the number of points that fall on the regression line C.y-y D. the mean of the x and y values
Please help guys.
A residual is the difference \[y-\hat{y}\] between the observed value, y, of a variable and the corresponding value, y-hat, that is obtained when a model is derived from the observed values of the data. In the case of the least squares 'y on x' regression line, a residual is the vertical distance from a point representing an observed value to the regression line that is plotted on a scatter diagram. |dw:1373360357986:dw| The diagram above shows residuals R1, R2 and R3 from the 'y on x' regression line. Therefore choices A, B and D do not describe a residual.
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