Figure 3.

The rRMSE of regression calibration to OLS for each estimated coefficient (β_r,β_f,β₁) are plotted as a function of the ratio of the true standard deviations, σ_x,r:σ_y (A), the number of random regressors, ${\mathrm{X}}_r^{\left(j\right)}$ (B), and the number of replicated measurements (C). (Note, y-axis was visually optimized for each figure and are not common across A, B, and C.) With increasing σ_x,r:σ_y ratios, regression calibration has increased relative accuracy in β_r estimates compared to OLS. The common simulation shared in (A, B, C) is indicated by a gray line.