Source	DF	Sum of Squares	Mean Square	F Value	Pr > F	
Model	5	14775	2955.06848	52.88	<.0001	
Error	500	27941	55.88191	_	_	
Corrected Total	505	42716	_	_	_	

Fit Statistics	
Statistic	Value	
Root MSE	7.475420	
Dependent Mean	22.532806	
Coeff Var	33.175717	
R-Square	0.345895	
Adj R-Sq	0.339354	
_AIC_ Akaike's information criterion	2041.723909	
_BIC_ Sawa's Bayesian information criterion	2043.867621	
_SBC_ Schwarz's Bayesian criterion	2067.083129	

Parameter Estimates	
Variable	DF	Parameter Estimate	Standard Error	P-Value	Lower 95% CL Parameter	Upper 95% CL Parameter	Heteroscedasticity Consistent Standard Error	
Intercept	1	31.79302	1.68240	<.0001	28.48757	35.09847	1.55065	
crim	1	-0.23283	0.04755	<.0001	-0.32626	-0.13940	0.04661	
indus	1	-0.51302	0.08165	<.0001	-0.67343	-0.35260	0.07754	
dis	1	-1.05423	0.22632	<.0001	-1.49888	-0.60957	0.21689	
dummy_dp_var2	1	4.62054	0.88611	<.0001	2.87958	6.36150	0.76374	
dummy_dp_var3	1	-1.22053	1.04369	0.2428	-3.27109	0.83003	1.09139	

Parameter Estimates	
Variable	Heteroscedasticity Consistent P-Value	Heteroscedasticity Consistent Lower 95% CL Parameter	Heteroscedasticity Consistent Upper 95% CL Parameter	
Intercept	<.0001	28.74642	34.83962	
crim	<.0001	-0.32440	-0.14125	
indus	<.0001	-0.66537	-0.36066	
dis	<.0001	-1.48036	-0.62809	
dummy_dp_var2	<.0001	3.12002	6.12107	
dummy_dp_var3	0.2640	-3.36481	0.92375	

Covariance of Estimates. First 10 columns shown.	
Variable	Intercept	crim	indus	dis	dummy_dp_var2	dummy_dp_var3	
Intercept	2.83048	-0.00517	-0.11412	-0.31229	-0.61438	-0.08110	
crim	-0.00517	0.00226	-0.00005358	0.00113	-0.00070834	-0.02149	
indus	-0.11412	-0.00005358	0.00667	0.00998	0.02641	-0.02434	
dis	-0.31229	0.00113	0.00998	0.05122	-0.00230	0.01153	
dummy_dp_var2	-0.61438	-0.00070834	0.02641	-0.00230	0.78519	0.16363	
dummy_dp_var3	-0.08110	-0.02149	-0.02434	0.01153	0.16363	1.08929	

Robust Covariance of Estimates. First 10 columns shown.	
Variable	Intercept	crim	indus	dis	dummy_dp_var2	dummy_dp_var3	
Intercept	2.40453	-0.00939	-0.09264	-0.29135	-0.17641	0.12060	
crim	-0.00939	0.00217	0.00004635	0.00200	-0.00171	-0.02325	
indus	-0.09264	0.00004635	0.00601	0.00876	0.00418	-0.03579	
dis	-0.29135	0.00200	0.00876	0.04704	-0.02577	-0.01825	
dummy_dp_var2	-0.17641	-0.00171	0.00418	-0.02577	0.58329	0.19506	
dummy_dp_var3	0.12060	-0.02325	-0.03579	-0.01825	0.19506	1.19113	

Collinearity Diagnostics. Possible collinearity: for high condition index (>10) two variance proportion values greater than 0.5.	
Number	Eigenvalue	Condition Index	Var Prop Intercept	Var Prop crim	Var Prop indus	Var Prop dis	Var Prop dummy_dp_var2	Var Prop dummy_dp_var3	
1.00000	3.50914	1.00000	0.00292	0.01525	0.00628	0.00604	0.00953	0.01387	
2.00000	1.55055	1.50438	0.00060490	0.08645	0.00210	0.01151	0.08250	0.04807	
3.00000	0.48166	2.69917	0.00261	0.65421	0.02981	0.00119	0.18309	0.01991	
4.00000	0.24733	3.76667	0.00533	0.23724	0.00250	0.07135	0.46628	0.55452	
5.00000	0.18603	4.34315	0.00170	0.00313	0.20135	0.21306	0.12202	0.36300	
6.00000	0.02528	11.78201	0.98684	0.00372	0.75796	0.69684	0.13657	0.00062472