In a regression analysis, if the predicted value of y is 5 and the corresponding observed value of y is 7, the residual (error) equal to 2.
TRUE OR FALSE ?
True.
The resudial(e) is the difference between the predicted value (ŷ) and the observed value.
Residual = Observed value – predicted value
e = y – ŷ = 7 - 5 = 2
In a regression analysis, if the predicted value of y is 5 and the corresponding observed...
In regression analysis, a careful study of the differences, y-y between observed and estimated y values, given x (in order to decide whether crucial assumptions are fulfilled that allow valid inferences about the true regression line to be made from an estimated regression line) is called residual analysis. True or False
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