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Question 110 pts

Data collected (including the normalized values) by a riding mower manufacturer on its existing customers are listed below.

Customer ID	Income	Lot_Size	Normalized Income	Normalized Lot_Size	Ownership
1	61.5	20.8	-0.351	0.762	Owner
2	82.8	22.4	0.726	1.421	Owner
3	52.8	20.8	-0.790	0.762	Nonowner
4	84	17.6	0.786	-0.556	Nonowner
5	63	14.8	-0.275	-1.709	Nonowner

The riding mower manufacturer wants to classify a new customer (data given below) as either an owner or a nonowner using k-Nearest Neighbors method.

Income	Lot_Size	Normalized Income	Normalized Lot_Size
81	20	0.635	0.532

Round your answers to 3 digits after the decimal point.

The Euclidean distance between the new customer and Customer 1 is .

The Euclidean distance between the new customer and Customer 2 is .

The Euclidean distance between the new customer and Customer 3 is .

The Euclidean distance between the new customer and Customer 4 is .

The Euclidean distance between the new customer and Customer 5 is .

The new customer should be classified as (owner or nonowner?) if k is set to 3.