In statistics, a sum of squares due to lack of fit, or more tersely a lack-of-fit sum of squares, is one of the components of a partition of the sum of squares in an analysis of variance, used in the numerator in an F-test of the null hypothesis that says that a proposed model fits well.
Read more about Lack-of-fit Sum Of Squares: Sketch of The Idea, Mathematical Details, See Also
Famous quotes containing the words squares and/or sum:
“And New York is the most beautiful city in the world? It is not far from it. No urban night is like the night there.... Squares after squares of flame, set up and cut into the aether. Here is our poetry, for we have pulled down the stars to our will.”
—Ezra Pound (1885–1972)
“No, the five hundred was the sum they named
To pay the doctor’s bill and tide me over.
It’s that or fight, and I don’t want to fight
I just want to get settled in my life....”
—Robert Frost (1874–1963)