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Brablo
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 Posted: Mon May 28, 2007 7:44 am Post subject: Multivariate regression: Differences between... |
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eliminating variables because their T-values (or the constants divided
by the standard error) are too low and eliminating variables because
it increases the adjusted R^2?
Is it possible that the T-value of a variable is high, but the
adjusted R^2 is lower with that variable?
What about the opposite occuring (i.e. a variable is found to be
useless based on its T-value, but its adjusted R^2 is higher with the
variable)? |
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