Statistics - Regression Projects

Given the following SPSS output elements for an OLS regression analysis, please explain and interpret

Problem: Given the following SPSS output elements for an OLS regression analysis, please explain and interpret the findings. Go through the five steps and explain what is seen here. The dependent variable is the Robbery Rate per 100,000 population in the tract.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.781 ^a	.610	.580	898.915219

ANOVA ^b
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	1.328E8	8	16599025.778	20.542	.000 ^a
	Residual	84845099.926	105	808048.571
	Total	2.176E8	113

Coefficients ^a
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	Collinearity Statistics
Model		B	Std. Error	Beta	Tolerance	Sig.	VIF
1	(Constant)	1231.708	1754.993		.702	.484
	RACIAL HETEROGENEITY	6135.465	1796.375	.345	3.415	.001	.364	2.745
	PERCENT OF LABOR FORCE THAT IS UNEMPLOYE	3570.676	3910.196	.103	.913	.363	.289	3.457
	% OF HOUSING UNITS WITH >1.1 PERSONS/ROO	-16112.819	5047.206	-.294	-3.192	.002	.438	2.281
	% LABOR TAKING PUBLIC TRANSPORT TO WORK	2646.753	1796.878	.133	1.473	.144	.456	2.191
	% OF CIVILIAN LABOR FORCE THAT IS FEMALE	-13020.513	2293.770	-.515	-5.676	.000	.451	2.219
	AVE # OF PERS PER OCCUPIED HOUSING UNITS	346.706	321.652	.101	1.078	.284	.421	2.374
	% RESDNTS >5 YRS THAT MOVED IN LAST 5 YR	4165.045	882.728	.381	4.718	.000	.570	1.754
	% CHILDREN <18 WHO LIVE WITH BOTH PARENT	1760.746	819.214	.202	2.149	.034	.421	2.376