Examples of Coefficient of determination in a sentence
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.
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.
Coefficient of determination R2 and RMSE associated to the ANN (test) estimates of the worst-case requirement metric w(p,d ) = max g = max f (x = h(p),d ).
Choreography in aerobics should be a method to achieve specific goal, not a purpose to itself or showing off of the instructor’s capabilities that might be inappropriate to trainee.
Prior actions designed to empower women and girls; and strengthen fiscal management are environmentally neutral.
Coefficient of determination R2 : If we denote by yt∗ the fitted values from regression analysis, the coefficient of determination is defined as R2 = Cor2(y∗, yt).
MASON UNIV., USING GOVERNMENT PROGRAMS TO ENCOURAGE EMPLOYMENT, INCREASE EARNINGS, AND GROW THEECONOMY 24 (Nov.
Types of Statistics - descriptive and inferential.Measures of Central Tendency and Dispersion, Meaning, assumptions and limitations of Simple correlations and regression analysis; Pearson’s Product Moment Formula and Spearman’s Rank Correlations, Concept of least squares and lines of regression; Methods of estimating non-linear equations e.g. parabolic equation, Standard Error of estimate Partial and Multiple Correlations, Coefficient of determination.
Coefficient of determination reflects how much variation of the dependent variable (Y) can be explained by the independent variable (X).
Coefficient of determination (𝑅2), the root mean squared error (RMSE), the sum of the squared total (SST), the correlation coefficient, and 𝑝-value for F-statistic vs.