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.
References in periodicals archive ?
R- Squared value for age and depression was found by 0.005032 and R-squared for anxiety and age was 0.01154.
The overall R-squared indicates that the models explained around 28% of overall variances in endogenous variables.
D(EMPR?) 7.008395 1.761086 3.979587 0.0001 D(INMR?) 0.204442 0.042099 4.856217 0.0000 D(MYHR?) -19.34940 3.123451 -6.194877 0.0000 D(OTMR?) -0.183372 0.042726 -4.291838 0.0000 INMRRO 0.057184 0.020583 2.778219 0.0065 MYHRRO 2.380529 0.465706 5.111658 0.0000 OTMRRO -0.058414 0.020416 -2.861244 0.0051 EMPRRO 0.316290 0.161204 1.962051 0.0525 Weighted Statistics R-squared 0.545431 Mean dependent var 0.331437 Adjusted 0.513611 S.D.
The regression results in terms of R-squared values are calculated and presented in Table 2 for both training and testing data sets.
This model's F-statistic value was statistically significant, with the adjusted R-squared value of 0.1337.
of 4,884,854 4,884,854 4,884,854 observations R-squared 0.598 0.397 0.599 TV Regression Diagnostics Under identification test Kleibergen-Paap -- 21.850 -- rk LM -- [0.000] -- Weak identification test Kleibergen-Paap -- 8.475 -- rk Wald F Over identification test Hansen J -- 0.102 -- statistic -- [0.950] -- Endogeneity test -- 33.615 -- -- [0.000] -- Variables Hospital Market Boundaries: Driving-Time Radius 20-minute 30-minute IV OLS IV Hospital FTHHI 0.177 0.094 0.142 (***) (***) (***) Hospital FTHHI (0.017) (0.011) (0.014) -0.117 0.057 -0.128 (***) Health (0.170) (0.019) (0.168) insurer HHI 4,884,854 4,884,854 4,884,854 No.
error t-Statistic Probability Human Capital 0.533 0.277 1.922 0.0705 FDI 0.0153 0.002 5.210 0.0001 C 428.53 66.56 6.437 0.0000 R-squared 0.724768 Mean dependent var 561.8157 Adjusted R-squared 0.694186 S.D.
Baptiste, USAF Ret., President and CEO of the National Center for Simulation; Bill "Roto" Reuter of R-Squared Solutions, and Jeff Piersall of SCB Marketing, who has just released his new book "Dogs Don't Bark at Parked Cars," about freedom through ethical capitalism.
These three variables form the R-squared for the equation, which was 0.7462.
The values of "R-Squared" (0.9874) (Table 3) and "Adj R-Squared" (0.9711) indicated that the model explains 97.11% of the variation in the data, and the experiment error was small.
Morck, Yeung, and Yu (2000) propose a model on the basis of R-squared from asset pricing regressions as a proxy of SPS to measure firm specific information.