We compared the quantile regression estimates to the ones obtained by a standard mean regression model.
The approximation of the arithmetic mean regression by a geometric mean regression was investigated separately as explained in the " Appendix".
Interestingly, in this study cup/bottle-feeding significantly decreased the RMS percentage in the regression model by a mean of 10 percentage points.
In addition to the summary percentage of risky choice, we derived an absolute measure for risk-preference in each state by fitting a mean-variance logistic regression model (see Appendix S1).
If the exposure is only associated with a shift of the upper tail of the distribution of a continuous outcome parameter, a true association may be missed if testing refers to the mean by a linear regression model with the continuous outcome parameter as response variable.
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.
The temporary excess discount followed by a regression to the mean suggests that the fund experienced selling pressure due to the confluence of several factors.
Alternatively, a curve fit approach could recognize the relationship between SD and mean by a regression line (curve fit).
For this reason, we do not believe that these results are biased by a regression to the mean effect.
The decline in GADA among those positive could have been exaggerated by a regression toward the mean.
