QUESTION 14

(House Selling Price) The data below show the selling price, square footage, bedrooms, and age of houses that have sold in a neighborhood in the last six months.

Selling price	Square footage	Bedrooms	Age
64,000	1,670	2	30
59,000	1,339	2	25
61,500	1,712	3	30
79,000	1,840	3	40
87,500	2,300	3	18
92,500	2,234	3	30
95,000	2,311	3	19
113,000	2,377	3	7
115,000	2,736	4	10
138,000	2,500	3	1
142,500	2,500	4	3
144,000	2,479	3	3
145,000	2,400	3	1
147,500	3,124	4	0
144,000	2,500	3	2
155,500	4,062	4	10
165,000	2,854	3	3

Develop seven regression models as below using the corresponding Excel data. (Model 1) Y = selling price, X₁ = square footage (House Selling Price Model 1 Data) (Model 2) Y = selling price, X₂ = bedrooms (House Selling Price Model 2 Data) (Model 3) Y = selling price, X₃ = age (House Selling Price Model 3 Data) (Model 4) Y = selling price, X₁ = square footage, X₂ = bedrooms (House Selling Price Model 4 Data) (Model 5) Y = selling price, X₁ = square footage, X₃ = age (House Selling Price Model 5 Data) (Model 6) Y = selling price, X₂ = bedrooms, X₃ = age (House Selling Price Model 6 Data) (Model 7) Y = selling price, X₁ = square footage, X₂ = bedrooms, X₃ = age (House Selling Price Model 7 Data) (House Selling Price) ___ is the best for predicting the selling price of a house in this neighborhood.

	A.	Model 4
	B.	Model 3
	C.	Model 2
	D.	Model 1
	E.	Model 6
	F.	Model 7
	G.	Model 5