For these impacts, estimation accuracy was substantially improved with a biphasic profile simplification (average correlation coefficient and linear regression slope of 0.92 ± 0.03 and 0.95 ± 0.07 for biphasic shapes, respectively, vs. 0.80 ± 0.06 and 0.80 ± 0.08 for acceleration-only shapes).
For each taxon, isotopic enrichment of individual probe spots was plotted versus probe fluorescence, and a linear regression slope was calculated with the y intercept constrained to natural isotope abundances (0 per mil for 15N data and −20 per mil for 13C data).
Based on multiple linear regression slope ratios with ZnSO4 set at 1.00, the RBV of ZnAA-L, ZnPRO-M and ZnPRO-H were 1.01, 1.28 and 0.70, respectively, for low phytate diets, and 1.05, 1.39 and 0.92, respectively, for high phytate diets.
The linear regression slope becomes gentler.
In addition, we obtain Spearman rank correlations and the linear regression slope coefficients relating ASY with the corporate finance proxies.
The N20-P25 1st amplitude block correlated negatively with the linear regression slope (r = −549, p < 0.001).
To this end we employed piecewise regression, a tool producing an objective test of whether a linear regression slope shifts somewhere on the x-axis.
Brandstein et al. [22] practically implemented a linear regression slope forced unwrapping method which recursively adjusted the estimated wrapping frequency using lower band phase observations.
The linear regression slope of VEP (N1-P1) and SSEP N20-P255) amplitudes over all blocks differed significantly between the two groups (F1,34 = 27.029, p < 0.0001 for VEP; F1,34 = 6.613, p = 0.015 for SSEP).
Data are usually expressed either in absolute or log-transformed values, and between single trials or blocks habituation is calculated either with linear regression (slope of the linear regression line) or with block ratios (change in amplitude expressed in percentage).
Linear regression slope and y intercept comparisons were performed using Matlab's ANCOVA function.
