Sentence examples for by a simple regression from inspiring English sources

This leads to the definition of a surface that is represented by a simple polynomial equation that contains six coefficients that are determined by a simple regression calculation.

To provide a more intuitive and graphical representation of the models, we fit Equations 1 and 2 to the data by a simple regression based alternative to the likelihood approach as shown in Figure 3 (see Methods).

The better models chosen were evaluated by a simple regression analysis and means predicted vs. determined by DXA were compared to verify the accuracy of the equations.

By a simple regression analysis (Additional file 4), we found that 47.8% of variability across TE exons in the digital expression measure can be explained by the inclusion levels (p = 0).

The currently prevailing "storage" doctrine, as elaborated by Sir Solly Zuckerman and collaborators (reviewed in [ 88]), is based on the following milestones (assumptions): A) Total number of oocytes declines with age by a simple regression.

In addition, by a simple regression analysis, we demonstrated that urinary miR-155 levels significantly and positively correlated with urinary expression of RANTES and significantly and negatively correlated with IL-1 β, IL-6, and TNF- α, which suggests the potential inflammatory pathways involved in etiology of human nephrolithiasis.

21 This method allows evaluation of the "effect" of an energy generating nutrient, controlling for the energy generated by this nutrient, by using a simple regression of that nutrient on energy intake to calculate the residual.

The simplest method attempted was to first select a subset of markers by using LASSO on the whole data set, and then re-estimate the effects of those markers one-by-one with a simple regression model by the OLS method and perform the standard t-test (including the standard Bonferroni correction for multiple testing).

These results are consistent with the relationships between the altitude and the q for the TESS groups, which was tested by performing a simple regression analysis; indeed this relationship was highly significant (P < 0.0001) for the TESS clusters T1, T2, T5 and T6 (R2 = 0.25, 0.14, 0.10, 0.22 respectively), significant (P = 0.05) for T3, but not significant for T4 (P = 0.08).

For each individual, the rate was determined by parameter estimates using a simple regression analysis, with eGFR as a function of time in years applied to all eGFR values obtained during the follow-up period.

Equation 6 implies that axial dispersion cannot be calculated by a simple linear regression because of its nonlinear relationship with HETP.