I'm guessing that by " R ^ 2 " you're referring to the coefficient of determination, which seems to measure " goodness of fit ".
12.
The tentative breakpoint that provides the largest coefficient of determination ( as a parameter for the fit of the regression lines to the observed data values ) is selected as the true breakpoint.
13.
The "'meiosis determination ( b 2 ) "'is the " coefficient of determination " of meiosis, which is the cell-division whereby parents generate gametes.
14.
According to Everitt ( p . 78 ), this usage is specifically the definition of the term " coefficient of determination " : the square of the correlation between two ( general ) variables.
15.
In addition, use is made of the correlation coefficient of all data ( Ra ), the coefficient of determination or coefficient of explanation, confidence intervals of the regression functions, and Anova analysis.
16.
The Sargan Hansen test statistic can be calculated as TR ^ 2 ( the number of observations multiplied by the coefficient of determination ) from the OLS regression of the residuals onto the set of exogenous variables.
17.
For the case of a linear model with a single independent variable, the coefficient of determination ( R squared ) is the square of " r ", Pearson's product-moment coefficient.
18.
Where " R " 2 " i " is the coefficient of determination of the regression equation in step one, with X _ i on the left hand side, and all other predictor variables ( all the other X variables ) on the right hand side.
19.
The second graph ( top right ) is not distributed normally; while an obvious relationship between the two variables can be observed, it is not linear, and the Pearson correlation coefficient is not relevant ( a more general regression and the corresponding coefficient of determination would be more appropriate ).
20.
In statistics, the "'coefficient of determination "', denoted " R " 2 or " r " 2 and pronounced " R squared ", is a number that indicates the proportion of the variance in the dependent variable that is predictable from the independent variable.
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