Sentence examples for regression expression from inspiring English sources

Another multivariate analysis was performed again except for these three inputs and new regression expression was calculated.

Equation (16) indicates that the rate of change of the RPI varies inversely with the cumulative injection volume, which also proves the validity of the regression expression in Fig. 2a.

These enzymatic activities as variables were fed to regression analysis tool in Excel and regression expression was obtained from coefficients in displayed analysis of variance (ANOVA) table containing significant value (F value), coefficients, and probability value (P value), etc.

Based on this knowledge, the response surfaces for TS and DT of API-containing tablets were predicted from only two and four formulations using regression expression and placebo tablet data, respectively.

To take into account the liquid bridge force between particles and between a particle and a wall, a regression expression for the liquid bridge force was developed as a function of the dimensionless liquid bridge volume and the separation distance based on numerical solutions of the Laplace Young equation.

The resulting expression derived from the 135 healthy participants is The regression expression for REE above has been subject to K-fold validation.

The multi-variant regression expressions were developed through sequential multiple linear regression technique, considering adjustable correlation coefficient (r2adj).

Before detailing the proposed algorithm, reminding the general polynomial regression expressions with least squares sense could be beneficial.

Based on a large number of experimental data, a series of regression expressions have been obtained by calculating on a computer:σ0.2300=σ0.20+fMe; σ0.2=σ0.2300 exp;  σb300=σb0+fMe;  σb=σb300 exp.The results of the calculation prove to be satisfactory after verification.

Finally, multi-variate regression expressions are obtained for the optimum values of the friction coefficient that minimize the superstructure displacements relative to the base mass as a function of the structural system properties, of the seismic input intensity and of the soil condition.

In Stuart et al. (2004) linear regression models, regressing expression on fractional content of tumor (or stroma), were used to estimate the expected cell-type expression as the regression coefficient.