2. Refer to the accompanying Excel file. A riding-mower manufacturer would like to find a way of classifying families in

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2. Refer to the accompanying Excel file. A riding-mower manufacturer would like to find a way of classifying families in

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2 Refer To The Accompanying Excel File A Riding Mower Manufacturer Would Like To Find A Way Of Classifying Families In 1
2 Refer To The Accompanying Excel File A Riding Mower Manufacturer Would Like To Find A Way Of Classifying Families In 1 (34.66 KiB) Viewed 84 times
2. Refer to the accompanying Excel file. A riding-mower manufacturer would like to find a way of classifying families in a city into those likely to purchase a riding mower and those not likely to buy one. A pilot random sample is undertaken that includes 12 owners and 12 nonowners in the city and includes the variables income and lot size. (a) Convert income to categories of low/high income with a cutoff of $60,000, and convert lot size to categories of small/large lot with a cutoff of 20,000 ft. (b) If you could only use one variable to segment the data, which would be better? Why?
Income (k) 60 85.5 64.8 61.5 87 110.1 108 82.8 69 93 51 81 75 52.8 64.8 43.2 84 49.2 59.4 66 47.4 33 51 63 Lot_Size Ownership (1000 sq.ft.) 18.4 Owner 16.8 Owner 21.6 Owner 20.8 Owner 23.6 Owner 19.2 Owner 17.6 Owner 22.4 Owner 20 Owner 20.8 Owner 22 Owner 20 Owner 19.6 Nonowner 20.8 Nonowner 17.2 Nonowner 20.4 Nonowner 17.6 Nonowner 17.6 Nonowner 16 Nonowner 18.4 Nonowner 16.4 Nonowner 18.8 Nonowner 14 Nonowner 14.8 Nonowner
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