(1) Sales of Riding Mowers: Scatter Plots: XLMiner

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 ft2). The marketing expert looked at a random sample of 24 households, given in the file RidingMowers.xls.

1. 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 (remove excessive background and gridlines; create legible labels and a legend, etc.). Hint: First sort the data by the outcome variable, and then plot the data for each category as separate series.

(Add your graph here)

Source: Data courtesy of Dean Wichern.
Income:	Annual income in $000
Lot Size:	In thousands of sq. feet
Ownership:	Whether the resident owns a riding mower or not
(c) 2016 Galit Shmueli and Peter Bruce