The amplification efficiencies were sample-estimated by a linear regression from a window-of-linearity set in the exponential phase of the fluorescence history plotted in log scale using the LinReg tool [ 66].
An approach for estimating the curves and their confidence bounds is developed by a linear regression technique.
The average velocity V and the velocity dispersion σ were determined by a linear regression for these sources.
The liquid heat capacity of fully amorphous PNIPA was approximated by a linear regression and expressed as Cliquidp(exp) = 0.3379 ⋅ T + 126.69 in J K−1 mol−1.
About 56% of the total grain yield variability in our experiments was explained by a linear regression model with management, altitude and N-fertilizer input.
(d) Propagation velocities estimated by a linear regression of distance versus latency from 89 arbour sections (circles in standard conditions; crosses when synaptic activity was blocked) from 12 neurons (horizontal lines, colour matches (a c); R2 values were 0.93 mean±0.08 s.d.; N=89).
The relationship between BEF and stem dry biomass (Bstem) was modelled by a linear regression model in R [75].
Approximately one third of the variation in visual acuity could be predicted by a linear regression model that incorporated OCT center point thickness, age, hemoglobin A1C, and severity of fluorescein leakage.
Comparisons of predicted versus observed [Phe]t was fit by a linear regression model with a slope of 0.985 with an R2 of 0.996.
The solid line has a slope of 1.67 units per day (obtained by a linear regression fit to the points for t > 500 days).
Radical scavenging ability was calculated by a linear regression analysis among the inhibition percentages against the compounds concentrations via the Excel program.
