Sentence examples for by linear regression with from inspiring English sources

Propionate proportion increased with extract dose by up to ∼15%, and effects could be modeled by linear regression with high correlation coefficients.

The estimate of chitosan's intrinsic viscosity was made by linear regression with the values of reduced viscosity and concentration, using Huggins equation for polymers.

Rate constant of distribution phase and rate constant of elimination phase were analyzed by linear regression with the absorbance of protein to micelles (A) and the fraction of intact micelles at 10 min (ft, 10 min).

Molecular weight (MW) was estimated by linear regression with reference to a broad range molecular weight protein standard (Bio-Rad).

Significant positive relationship between pseudo-total metal and 1M HCl extractable metal contents were obtained by linear regression, with regression coefficients (r) of 0.94 for Cu, 0.96 for Zn and 0.95 for Cd, respectively.

IC50 values represent the compound concentrations required to inhibit 50%% of cell proliferation and were calculated from a calibration curve by linear regression with the aid of Microsoft Excel [11].

By linear regressions with the current weather or climate pattern as the dependent variable and selected historical patterns as independent variables, high-quality analogues can be constructed that tend to describe the evolution of weather or climate into the future for a time (Hidalgo et al. 2008).

> -wrap-foot> Duration on dialysis, interdialytic weight gain and biochemical markers were not significantly associated with LVMI by linear regression, nor with the presence of LVH by t-test (Supplementary Table S1).

The actual regression coefficients with 95% confidence intervals were calculated by linear regression analysis with a fixed intercept of 0. As the volumes were considered not to be normally distributed, Spearman's correlation coefficient was calculated.

The model of calibration for the two calibration curves was selected based on the analysis of the data by linear regression and with weighting factor (1/x).

The heritability of inbred strains can be estimated by linear regression models with sex, strain and sex-strain interaction as independent variables.