The following data give the selling price, square footage, number of bedrooms, and the age of the houses that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the selling price based upon each of other the other factors individually. Which of these is the best?

Selling Price($)	Square Footage	Bedrooms	Age (Years)
84,000	1,670	2	30
79,000	1,339	2	25
91,500	1,712	3	30
120,000	1,840	3	40
127,500	2,300	3	18
132,500	2,234	3	30
145,000	2,311	3	19
164,000	2,377	3	7
155,000	2,736	4	10
168,000	2,500	3	1
172,500	2,500	4	3
174,000	2,479	3	3
175,000	2,400	3	1
177,500	3,124	4	0
184,000	2,500	3	2
195,500	4,062	4	10
195,000	2,854	3	3

Second part of question...

Using the above data and develop a regression model to predict selling price based on the square footage and number of bedrooms. Use this to predict the selling price of a 2,000 square foot house with 3 bedrooms. Compare this model with the above models. Should the number of bedrooms be included in the model? Why or why not?