coefficient of determination


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coefficient of determination

[¦kō·ə′fish·ənt əv di‚tər·mə′nā·shən]
(statistics)
A statistic which indicates the strength of fit between two variables implied by a particular value of the sample correlation coefficient r. Designated by r 2.
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casei: Lactobacillus casei Table 3: Parameter estimates, half-life, coefficient of determination, and error analysis of the different viability kinetic models Kinetic model Parameter estimates Zero-order [k.
According to the results in Figure 1, it is possible that the separation of leaves into size class can contribute to maximize the coefficient of determination ([R.
In Table 3, SE represents the standard error between the observed shear stresses and the predicted shear stresses for each model while the coefficient of determination, [R.
Table 4 shows the statistical criterion of candidate models for the dominant height modeling based on the coefficient of determination ([R.
The Goodness-of-fit, Coefficient of Determination [R.
Generally, for these two models, the higher value of the coefficient of determination R2 suggests a better model.
The coefficient of determination is the same for optimum option and satisfactory option.
In statistics, the coefficient of determination denoted [R.
Firstly, the coefficient of determination and the adjusted coefficient of determination are calculated.
The most general definition of coefficient of determination is
Coefficient of Determination R2: If R2 =1, then 100 per cent of the total variation in the dependent variable y has been explained by the model.
937) in terms of its area which is thoroughly in contrast to its patch based coefficient of determination ([R.

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