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Overall, the regression correlation coefficient, R2, is 0.89 with 95% confidence standard error of ±3.4 dB.
Statistical analysis (Gaussian-based analysis, regression, correlation, statistical process control, intervention analysis).
The calculated values and their corresponding linear regression correlation coefficient values are listed in Table 5.
The best fit equilibrium model was determined based on the linear regression correlation coefficient R2.
The calculated values and their corresponding linear regression correlation coefficient values are shown in Table 3.
The regression correlation coefficients of 0.65 and 0.61 indicate a moderate correlation.
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The algorithms can be classified as two-step, regression, correlation-based and latent variable approaches.
Key Points Integrative analysis algorithms for GE and CN data include two-step, regression, correlation-based and latent variable approaches.
Correlation analyses were performed by nonparametric correlation (Spearman) and linear-regression correlation.
Second, the RNN, which has a simple architecture and uses numerous fundamental and technical indicators, is applied to construct the input features chosen via Stepwise Regression-Correlation Selection (SRCS).
Statistical significance estimates were not available for the regression-correlation network due to its method of construction.
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