R2 statistics is vs R2 statistics

Some examples from the web:

• Nov 6, 2013 ... The R2 statistics is the amount of variance in the dependent variable explained by your model. The F statistics is whether your model is signif-.
• in case of spurious regression the R2 statistics is going to converge to a positive value, which can be rather high. Usually the rule of thumb is that if the DW is ...
• Oct 26, 2015 ... relative residual. residual=abs(y−t)./y;. ▷ We use R2 statistics to observe the goodness of a line fitting. The R2 statistics is computed by, r2 = 1 −.
• May 5, 2014 ... relative residual. residual=abs(y−t)./y;. ▷ We use R2 statistics to observe the goodness of a line fitting. The R2 statistics is computed by, r2 = 1 −.

Some examples from the web:

• R2 statistics are also useful to gauge the effect of changing a model. Generalizing R2 to mixed models is not obvious when there are correlated errors, as might ...
• Jul 29, 2005 ... Various R2 statistics have been proposed for logistic regression to ... asymptotic properties of three popular variance-based R2 statistics.
• Pseudo-R2 Statistics. Description. Returns various pseudo-R^2 statistics (as well as Akaike's [corrected] information criterion) from a glm object. Should mimic ...
• Oct 31, 2012 ... In 2008 (or R2) statistics are NOT updated when you manually update statistics IF the database setting for auto update statistics is OFF. This is ...