Fig. 2
From: Quantile function modeling with application to salinity tolerance analysis of plant data
Relationship between plant traits in saline conditions and SWP index explained through quantile regression modeling: Each panel represents the estimated value of regression coefficient in black dots and the estimated 95% confidence interval in grey area as function of quantile level for each covariate in the model with SWP index as response, obtained by fitting a multiple quantile regression model (n=404). The horizontal black lines represent the zero value of the estimated coefficients. a Intercept, b Plant height (cm), c Flowering time (days), d Ripening period (days), e Ear number per plant, f Grain number per ear