Examples of Coefficient of determination in a sentence
Coefficient of determination R is the measure of proportion of the variance of dependent variables about its mean that is explained by the independent or predictor variables.
Using 12 months’ baseline data from the sites, a baseline model was created and the quality of the model was assessed using three model fitness metrics: • Coefficient of determination (R2), target >0.7;• Coefficient of Variation of the Root Mean Squared Error (CV(RMSE)), target <25%;• Normalized Mean Bias Error (NMBE), target within -0.5% to +0.5% range.
Coefficient of determination (R2) was used to measure the proportion of variance in the dependent variable that can be explained by independent variables.
Module II: Simple Linear Regression ModelThe concept of PRF -Significance of stochastic error term-The SRF-Problem of estimation- Method of ordinary least squares-Assumptions underlying the method of least squares-Properties of estimators- Gauss Markov theorem- Coefficient of determination, r2 -Normality assumption- Hypothesis testing- t and F tests.
Performance evaluator.Performance evaluator Calculation Coefficient of determination =12 =∑=1( − )2∑=1( − )2 + ∑( − )2 The above performance analysis had indicated that Oi is true value, Pi is predicted value from type- 2 fuzzy logic and is predicted average value from type-2 fuzzy logic.
Table 10 Coefficient of determination testModel SummaryModelRR SquareAdjusted R SquareStd Error of Estimate1.586.343.328.31861 Table 7 shows that the coefficient of determination (R2) is 0.344, which means that 34.3% of the dependent variables, namely Differentiation Strategy (X1) and Product Innovation (X2) can be explained by the independent variable Competitive Advantage.
Coefficient of determination is the square of correlation coefficient.
Making Data Models more flexible, making data models more selective, dealing with Categorical variables, Interpretation of regression coefficients, fine tuning data models (assessing the fit, model fitting), Coefficient of determination, Significance tests, Residual analysis, Prediction intervals.
Di Bucchianico, Coefficient of determination (R2), in Encyclopedia of Statistics in Quality and Reliability (John Wiley & Sons, Ltd, New Jersey, 2008).
The overall explanatory power of the model is poor with an R2 (Coefficient of determination) of 7.5% for the community radio regression, 6.9% for private radio and 8.4% for extension services.