PRICE100	FLOOR	DISTANCE	VIEW	END	FURNISH
199	1	2	0	0	0
204	1	13	0	0	0
275	1	15	1	0	0
209	2	14	0	0	0
259	1	2	1	0	0
264	1	9	1	0	0
264	1	12	1	0	0
264	1	13	1	0	0
254	3	9	1	0	0
264	3	15	1	0	0
279	8	15	1	0	0
204	1	12	0	0	0
199	2	13	0	0	0
249	2	15	1	0	0
264	3	11	1	0	0
209	3	14	0	0	0
259	4	15	1	0	0
204	1	14	0	0	0
274	7	15	1	0	0
199	1	3	0	0	0
199	1	11	0	0	0
274	2	14	1	0	0
180	3	11	0	0	0
254	3	12	1	0	0
284	4	14	1	0	0
269	3	5	1	0	0
159	2	3	0	0	0
199	1	6	0	0	0
204	1	9	0	0	0
190	2	11	0	0	0
261	2	12	1	0	0
159	2	12	0	0	0
261	2	13	1	0	0
169	3	6	0	0	0
199	4	14	0	0	0
189	5	14	0	0	0
294	6	15	1	0	0
199	6	14	0	0	0
204	2	6	0	0	0
279	3	14	1	0	0
159	6	9	0	0	0

1. Prepare a professional summary report that presents the results of your regression analysis. Be sure to interpret some of the coefficients. What are some conclusions and implications for an interested buyer? (Present details regarding what the regression output means at a managerial level. Present this in a non-technical way i.e., should be comprehended by a person who has not taken MGMT 350).

2. Prepare a technical summary of your regression analysis, including any limitations in your analysis. Technical summary should include details regarding p-value, Rsquare and other technical aspects of a regression