 Create predictions for each of the potential sites using your regression results and the attributes for each potential hotel site using the SUMPRODUCT formula.
 You will need to decide whether to have an indoor pool or not and code that information as 1 or 0 based on your decision. You can easily compare the predicted operating margin of each potential site with and without a pool by changing the values back and forth from 1 to 0.
 Rank the potential hotel sites from highest to lowest in terms of predicted operating margin.

Site	Indoor pool	Competitor rooms	Distance to competitor	Office space	Median income	Distance to downtown	Estimated Margin
1		2802	1	476	51	8.8
2		3656	2.1	344	54	6.7
3		2875	0.1	392	61.5	13.6
4		2504	1.1	487	55.5	3.6
5		3152	2.4	508	57	8.1

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	0.593008412	0.04087196	14.50893004	1.76492E-24	0.511715727	0.674301097	0.511715727	0.674301097
Competitor rooms	-6.8411E-05	6.70675E-06	-10.20032311	2.63203E-16	-8.17504E-05	-5.50715E-05	-8.17504E-05	-5.50715E-05
Distance to competitor	-0.018781105	0.003639779	-5.159956933	1.65639E-06	-0.02602048	-0.01154173	-0.02602048	-0.01154173
Office space	0.000185051	1.94716E-05	9.503594323	6.42312E-15	0.000146322	0.000223779	0.000146322	0.000223779
Median income	-0.000175253	0.000444207	-0.394529757	0.694201909	-0.001058764	0.000708258	-0.001058764	0.000708258
Distance to downtown	0.001886448	0.001006759	1.87378249	0.064479451	-0.000115956	0.003888852	-0.000115956	0.003888852
Indoor pool D	0.022840354	0.006788638	3.364497101	0.001162775	0.009338026	0.036342683	0.009338026	0.036342683