I 2. Data Exploration. 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 owners or nonowners on the basis of Income (in $1000s) and Lot Size (in 1000 ft). A marketing expert at the company undertook a random sample of 24 households (12 owners and 12 nonowners) in the city. The data are in the file RidingMowers.xls. a. Using RapidMiner, create a scatterplot of Lot Size vs. Income, color coded by the outcome variable ownership. b. Based on the scatterplot, how would you classify a new household with $70,000 income and lot size 18,000 ft2? Explain your choice