Bruce, a Silicon Valley native, bought a duplex in Palo Alto, California in 2011 and it was a huge success. The property increased in value and the monthly rent skyrocketed from $4,000 to $11,000. As the economic boom continued in that region, and young talent flocked to the area to work at the hottest tech companies, the real estate market became a seller’s market. So, Bruce decides to buy a home in downtown Mountain View, considered the heart of Silicon Valley. He finds a property with a great location and other desirable amenities but needs to act fast and provide the right bid.
Combining data from multiple sources, Bruce creates a spreadsheet of recently purchased homes in the area. Students analyze Bruce’s data to determine an appropriate bid for the property based on variables such as home size, lot size, school district, and home expansion possibilities.