A company that manufactures riding mowers wants to identify the best sales prospects for an intensive sales campaign. In particular, the manufacturer is interested in classifying households as prospective own- ers or nonowners on the basis of Income (in $1000s) and Lot Size (in 1000 ft2). The marketing expert looked at a random sample of 24 households, given in the file Riding- Mowers.csv.

a. Using R, create a scatter plot of Lot Size vs. Income, color-coded by the outcome variable owner/nonowner. Make sure to obtain a well-formatted plot (create legi- ble labels and a legend, etc.).

Income	Lot_Size	Ownership
60	18.4	Owner
85.5	16.8	Owner
64.8	21.6	Owner
61.5	20.8	Owner
87	23.6	Owner
110.1	19.2	Owner
108	17.6	Owner
82.8	22.4	Owner
69	20	Owner
93	20.8	Owner
51	22	Owner
81	20	Owner
75	19.6	Nonowner
52.8	20.8	Nonowner
64.8	17.2	Nonowner
43.2	20.4	Nonowner
84	17.6	Nonowner
49.2	17.6	Nonowner
59.4	16	Nonowner
66	18.4	Nonowner
47.4	16.4	Nonowner
33	18.8	Nonowner
51	14	Nonowner
63	14.8	Nonowner