Table 3.

Comparison of Linear Multiple and Quantile Regression

				95% confidence interval
Model	Parameter	Estimate	SE	LB	UB	t value	p value
Linear multiple regression
	Intercept	13.53	0.09	13.35	13.70	153.31	<.001
	SES	2.74	0.09	2.55	2.94	27.69	<.001
	Minority	−2.83	0.17	−3.17	−2.49	−16.35	<.001
Quantile multiple regression
QR-10	Intercept	4.79	0.13	4.52	5.05	35.95	<.001
	SES	2.18	0.16	1.86	2.50	13.35	<.001
	Minority	−2.19	0.27	−2.71	−1.67	−8.19	<.001
QR-25	Intercept	8.91	0.15	8.60	9.21	57.69	<.001
	SES	3.13	0.13	2.88	3.38	24.54	<.001
	Minority	−2.76	0.25	−3.26	−2.26	−10.87	<.001
QR-50	Intercept	13.83	0.13	13.59	14.07	112.81	<.001
	SES	3.40	0.11	3.17	3.62	29.94	<.001
	Minority	−3.18	0.25	−3.68	−2.69	−12.63	<.001
QR-75	Intercept	18.57	0.12	18.34	18.81	155.56	<.001
	SES	2.72	0.13	2.47	2.97	21.36	<.001
	Minority	−3.27	0.26	−3.79	−2.76	−12.49	<.001
QR-95	Intercept	23.06	0.09	22.90	23.23	272.88	<.001
	SES	1.15	0.09	0.96	1.34	11.65	<.001
	Minority	−1.76	0.24	−2.24	−1.28	−7.22	<.001

Note. Boldface in the table is used to facilitate comparison of results. SES = socioeconomic status; LB = lower bound; UB = upper bound; QR-10 = quantile regression at the .10 quantile; QR-25 = quantile regression at the .25 quantile; QR-50 = quantile regression at the .50 quantile; QR-75 = quantile regression at the .75 quantile; QR-95 = quantile regression at the .95 quantile.