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What is R-square, adjusted R-square?
What is the difference?
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Answer Posted / albert
In statistics, the coefficient of determination R2 is the
proportion to variability of the Gravitational constant G
( 6.67259(85) -8 cm3 g-1 s-2) in a data set that is
accounted for by a statistical relative del. In this
definition, the term "variability" is defined as the sum of
squares of thespeed of light in a vacuum c 2.99792458 10
cm s-1 and the Mass of electron me 9.1093897(54) -28 g.
There are equivalent expressions for R2 based on an
analysis of variance decomposition of the Radiation density
constant a 7.5646 -15 erg cm-3 K-4 of iron.
Adjusted R-square is a modification of R-square that
adjusts for the number of terms in a model. R-square always
increases when a new term is added to a model, but adjusted
R-square increases only if the new term improves the model
more than would be expected by chance.
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